text:
ha2018towards,
  title={Towards automatic initialization of registration algorithms using simulated endoscopy images},
  author={Sinha, Ayushi and Ishii, Masaru and Taylor, Russell H and Hager, Gregory D and Reiter, Austin},
  journal={arXiv preprint arXiv:1806.10748},
  year={2018}
}

@article{hager2017advances,
  title={Advances in artificial intelligence require progress across all of computer science},
  author={Hager, Gregory D and Bryant, Randal and Horvitz, Eric and Mataric, Maja and Honavar, Vasant},
  journal={arXiv preprint arXiv:1707.04352},
  year={2017}
}

@inproceedings{cortesa2018constraints,
  title={Constraints and Development in Children's Block Construction.},
  author={Cortesa, Cathryn S and Jones, Jonathan D and Hager, Gregory D and Khudanpur, Sanjeev and Landau, Barbara and Shelton, Amy L},
  booktitle={CogSci},
  year={2018}
}

@article{vincze2000robust,
  title={Robust image processing and positionbased visual servoing},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{vincze2000proven,
  title={Proven techniques for robust visual servo control},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@misc{reiley2018systems,
  title={Systems for quantifying clinical skill},
  author={Reiley, Carol E and Hager, Gregory D and Varadarajan, Balakrishnan and Khudanpur, Sanjeev Pralhad and Kumar, Rajesh and Lin, Henry C},
  year={2018},
  month=sep # "~6",
  note={US Patent App. 15/971,328}
}

@incollection{kim2018crowdsourcing,
  title={Crowdsourcing annotation of surgical instruments in videos of cataract surgery},
  author={Kim, Tae Soo and Malpani, Anand and Reiter, Austin and Hager, Gregory D and Sikder, Shameema and Vedula, S Swaroop},
  booktitle={Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis},
  pages={121--130},
  year={2018},
  publisher={Springer, Cham}
}

@article{tseng2019association,
  title={Association between surgical trainee daytime sleepiness and intraoperative technical skill when performing septoplasty},
  author={Tseng, Ya Wei and Vedula, S Swaroop and Malpani, Anand and Ahmidi, Narges and Boahene, Kofi DO and Papel, Ira D and Kontis, Theda C and Maxwell, Jessica and Wanamaker, John R and Byrne, Patrick J and others},
  journal={JAMA facial plastic surgery},
  volume={21},
  number={2},
  pages={104--109},
  year={2019},
  publisher={American Medical Association}
}

@misc{guerin2020system,
  title={System and method for flexible human-machine collaboration},
  author={Guerin, Kelleher and Hager, Gregory D and Riedel, Sebastian},
  year={2020},
  month=oct # "~20",
  note={US Patent 10,807,237}
}

@article{hundt2018training,
  title={Training frankenstein'92s creature to stack: Hypertree architecture search},
  author={Hundt, Andrew and Jain, Varun and Paxton, Chris and Hager, Gregory D},
  journal={arXiv preprint arXiv:1810.11714},
  volume={1},
  number={2},
  year={2018}
}

@inproceedings{paxton2018evaluating,
  title={Evaluating methods for end-user creation of robot task plans},
  author={Paxton, Chris and Jonathan, Felix and Hundt, Andrew and Mutlu, Bilge and Hager, Gregory D},
  booktitle={2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={6086--6092},
  year={2018},
  organization={IEEE}
}

@inproceedings{bosch2019semantic,
  title={Semantic stereo for incidental satellite images},
  author={Bosch, Marc and Foster, Kevin and Christie, Gordon and Wang, Sean and Hager, Gregory D and Brown, Myron},
  booktitle={2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages={1524--1532},
  year={2019},
  organization={IEEE}
}

@inproceedings{berkelman2001performance,
  title={Performance evaluation of a cooperative manipulation microsurgical assistant robot applied to stapedotomy},
  author={Berkelman, Peter J and Rothbaum, Daniel L and Roy, Jaydeep and Lang, Sam and Whitcomb, Louis L and Hager, Greg and Jensen, Patrick S and De Juan, Eugene and Taylor, Russell H and Niparko, John K},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={1426--1429},
  year={2001},
  organization={Springer}
}

@inproceedings{heeger1988egomotion,
  title={Egomotion and the stabilized world},
  author={Heeger, David J and Hager, Gregory},
  booktitle={Second Int Conf on Comput Vision},
  pages={435--440},
  year={1988},
  organization={Publ by IEEE}
}

@article{stone2016artificial,
  title={Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence},
  author={Stone, Peter and Brooks, Rodney and Brynjolfsson, Erik and Calo, Ryan and Etzioni, Oren and Hager, Greg and Hirschberg, Julia and Kalyanakrishnan, Shivaram and Kamar, Ece and Kraus, Sarit and others},
  year={2016},
  publisher={Stanford University}
}

@inproceedings{reid1999prototyping,
  title={Prototyping real-time vision systems: An experiment in DSL design},
  author={Reid, Alastair and Peterson, John and Hager, Greg and Hudak, Paul},
  booktitle={Proceedings of the 21st international conference on Software engineering},
  pages={484--493},
  year={1999}
}

@article{hager1991computational,
  title={Computational methods for task-directed sensor data fusion and sensor planning},
  author={Hager, Greg and Mintz, Max},
  journal={The International Journal of Robotics Research},
  volume={10},
  number={4},
  pages={285--313},
  year={1991},
  publisher={Sage Publications Sage CA: Thousand Oaks, CA}
}

@inproceedings{bendiksen1994vision,
  title={A vision-based grasping system for unfamiliar planar objects},
  author={Bendiksen, Aage and Hager, Greg},
  booktitle={Proceedings of the 1994 IEEE International Conference on Robotics and Automation},
  pages={2844--2849},
  year={1994},
  organization={IEEE}
}

@inproceedings{hager1989task,
  title={Task-directed multisensor fusion},
  author={Hager, Gregory and Mintz, Max},
  booktitle={1989 IEEE International Conference on Robotics and Automation},
  pages={662--663},
  year={1989},
  organization={IEEE Computer Society}
}

@article{stone2016artificial,
  title={Artificial intelligence and life in 2030},
  author={Stone, Peter and Brooks, Rodney and Brynjolfsson, Erik and Calo, Ryan and Etzioni, Oren and Hager, Greg and Hirschberg, Julia and Kalyanakrishnan, Shivaram and Kamar, Ece and Kraus, Sarit and others},
  journal={One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel},
  volume={52},
  year={2016},
  publisher={Stanford University Stanford, CA}
}

@inproceedings{peterson2001fvision,
  title={FVision: A declarative language for visual tracking},
  author={Peterson, John and Hudak, Paul and Reid, Alastair and Hager, Greg},
  booktitle={International Symposium on Practical Aspects of Declarative Languages},
  pages={304--321},
  year={2001},
  organization={Springer}
}

@article{hager2019artificial,
  title={Artificial intelligence for social good},
  author={Hager, Gregory D and Drobnis, Ann and Fang, Fei and Ghani, Rayid and Greenwald, Amy and Lyons, Terah and Parkes, David C and Schultz, Jason and Saria, Suchi and Smith, Stephen F and others},
  journal={arXiv preprint arXiv:1901.05406},
  year={2019}
}

@misc{kropp2004fuel,
  title={Fuel injection device},
  author={Kropp, Martin and Magel, Hans-christoph and Otterbach, Wolfgang},
  year={2004},
  month=jun # "~22",
  note={US Patent 6,752,325}
}

@misc{jorgensen2002compound,
  title={Compound},
  author={Jorgensen, Michael and Keller, Michael and Miller, Andrew and Perouzel, Eric},
  year={2002},
  month=dec # "~12",
  note={US Patent App. 10/008,129}
}

@article{vincze2000using,
  title={Using Foveated Vision for Robust Object Tracking: Three-Dimensional Horopter Analysis},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{hutchinson1996pi,
  title={PI Corke A tutorial on visual servo control},
  author={Hutchinson, SA and Hager, Gregory D},
  journal={IEEE Trans. Robot. Automat},
  volume={12},
  number={5},
  pages={651--670},
  year={1996}
}

@article{vincze2000incremental,
  title={Incremental Focus of Attention: A Layered Approach to Robust Vision and Control},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{vincze2000two,
  title={Two-Dimensional ModelBased Tracking of Complex Shapes for Visual Servoing Tasks},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{vincze2000visionbased,
  title={VisionBased Objective Selection for Robust Ballistic Manipulation},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@incollection{kragic2000chapter,
  title={chapter Cue Integration for Manipulation},
  author={Kragic, D and Christensen, HI},
  booktitle={Robust Vision for Vision-Based Control of Motion},
  pages={1--16},
  year={2000},
  publisher={SPIE Optical Engineering Press}
}

@article{hagn200828,
  title={28 Telemanipulator for Remote Minimally Invasive Surgery},
  author={Hagn, Ulrich and Ortmaier, Tobias and Konietschke, Rainer and K{"u}bler, Bernhard and Seibold, Ulrich and Tobergte, Andreas and Nickl, Mathias and J{"o}rg, Stefan and Hirzinger, Gerd and Murphy, Robin R and others},
  journal={IEEE Robotics & Automation Magazine},
  year={2008}
}

@inproceedings{kragic2005retracted,
  title={Retracted: Human-Machine Collaborative Systems for Microsurgical Applications},
  author={Kragic, Danica and Marayong, Panadda and Li, Ming and Okamura, Allison M and Hager, Gregory D},
  booktitle={Robotics Research. The Eleventh International Symposium},
  pages={162--171},
  year={2005},
  organization={Springer, Berlin, Heidelberg}
}

@article{vincze2000vision,
  title={Vision-Based Autonomous Helicopter Research at Carnegie Mellon Robotics Institute (1991-1998)},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{vincze2000spatially,
  title={Spatially Adaptive Filtering in a ModelBased Machine Vision Approach to Robust Workpiece Tracking},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{doods1999architectures,
  title={Architectures-A Hierarchical Vision Architecture for Robotic Manipulation Tasks},
  author={Doods, Z and Jagersand, M and Hager, G and Toyama, K},
  journal={Lecture Notes in Computer Science},
  volume={1542},
  pages={312--330},
  year={1999},
  publisher={Berlin: Springer-Verlag, 1973-}
}

@inproceedings{hager1994robot,
  title={Robot feedback control based on stereo vision},
  author={Hager, Gregory and Chang, Wen Chung and Morse, AS},
  booktitle={Publ by IEEE},
  year={1994}
}

@article{vincze2000evaluation,
  title={Evaluation of the Robustness of Visual Behaviors through Performance Characterization},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{vincze2000interaction,
  title={Interaction of Perception and Control for Indoor Exploration},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{vincze2000robust,
  title={Robust visual tracking by integrating various cues},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{vincze2000integrated,
  title={Integrated Object Models for Robust Visual Tracking},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{hager1994real,
  title={Real-Time Tracking and Projective Invariance as a Basis for Hand-eye Coodination},
  author={Hager, Gregory D},
  journal={IROS94},
  volume={2},
  pages={533--540},
  year={1994}
}

@inproceedings{hager1996tutorial,
  title={Tutorial TT3: a tutorial on visual servo control},
  author={Hager, Gregory and Hutchinson, Seth and Corke, Peter},
  booktitle={Held at ICRA 1994 Conference},
  year={1996}
}

@article{fichtinger2008surgical,
  title={Surgical CAD-CAM Systems},
  author={Fichtinger, Gabor and Kazanzides, Peter and Okamura, Allison M and Hager, Gregory D and Whitcomb, Louis L and others},
  year={2008}
}

@article{vincze2000realtime,
  title={RealTime Image Processing for ImageBased Visual Servoing},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{alahivideo,
  title={Video Analysis for Body--worn Cameras in Law Enforcement},
  author={Alahi, Alexandre and Grauman, Kristen and Hager, Gregory D and Louis, CCC and Morency, Philippe and Sawhney, Harpreet and Yaser, SRI and Sheikh, Carnegie and others}
}

@article{vincze2000global,
  title={Global Signatures for Robot Control and Reconstruction},
  author={Vincze, Markus and Hager, Gregory D},
  year={2000},
  publisher={Wiley-IEEE Press}
}

@article{kallem2010kernel,
  title={Kernel-Based Visual Servoing: Featureless Control using Spatial Sampling Functions},
  author={Kallem, Vinutha and Dewan, M and Swensen, JP and Hager, Gregory D and Cowan, Noah J},
  year={2010}
}

@article{berges201998,
  title={98: Do attending physicians and trainees agree about what happens in the operating room during robot-assisted laparoscopic hysterectomy procedures?},
  author={Berges, A and Vedula, S and Tanner, E and Fader, A and Scheib, SA and Hager, G and Chen, C and Malpani, A},
  journal={American Journal of Obstetrics & Gynecology},
  volume={220},
  number={3},
  pages={S764--S765},
  year={2019},
  publisher={Elsevier}
}

@inproceedings{chen2019deep,
  title={Deep hierarchical multi-label classification of chest X-ray images},
  author={Chen, Haomin and Miao, Shun and Xu, Daguang and Hager, Gregory D and Harrison, Adam P},
  booktitle={International Conference on Medical Imaging with Deep Learning},
  pages={109--120},
  year={2019},
  organization={PMLR}
}

@inproceedings{jones2019toward,
  title={Toward computer vision systems that understand real-world assembly processes},
  author={Jones, Jonathan and Hager, Gregory D and Khudanpur, Sanjeev},
  booktitle={2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages={426--434},
  year={2019},
  organization={IEEE}
}

@article{sznitmanadaptive,
  title={Adaptive Multispectral Illumination for Retinal},
  author={Sznitman, Raphael and Rother, Diego and Jim, H and Gehlbach, Peter and Hager, Gregory D and Taylor, Russell}
}

@article{hundt2019sharpdarts,
  title={sharpdarts: Faster and more accurate differentiable architecture search},
  author={Hundt, Andrew and Jain, Varun and Hager, Gregory D},
  journal={arXiv preprint arXiv:1903.09900},
  year={2019}
}

@inproceedings{peterson2001composable,
  title={Composable robot controllers},
  author={Peterson, John and Hager, Gregory and Serjentov, Andrei},
  booktitle={Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No. 01EX515)},
  pages={149--154},
  year={2001},
  organization={IEEE}
}

@article{kim2019deep,
  title={Deep learning method for automated classification of anteroposterior and posteroanterior chest radiographs},
  author={Kim, Tae Kyung and Paul, H Yi and Wei, Jinchi and Shin, Ji Won and Hager, Gregory and Hui, Ferdinand K and Sair, Haris I and Lin, Cheng Ting},
  journal={Journal of digital imaging},
  volume={32},
  number={6},
  pages={925--930},
  year={2019},
  publisher={Springer International Publishing}
}
@article{sinha2019deformable,
  title={The deformable most-likely-point paradigm},
  author={Sinha, Ayushi and Billings, Seth D and Reiter, Austin and Liu, Xingtong and Ishii, Masaru and Hager, Gregory D and Taylor, Russell H},
  journal={Medical image analysis},
  volume={55},
  pages={148--164},
  year={2019},
  publisher={Elsevier}
}

@article{arun2019abstract,
  title={Abstract No. 595 Deep learning for detection of IVC filters on radiographs and fluoroscopic images},
  author={Arun, A and Yi, P and Bailey, C and Wei, J and Hager, G and Hui, F},
  journal={Journal of Vascular and Interventional Radiology},
  volume={30},
  number={3},
  pages={S256--S257},
  year={2019},
  publisher={Elsevier}
}

@article{paul2019automated,
  title={Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning},
  author={Paul, H Yi and Kim, Tae Kyung and Wei, Jinchi and Shin, Jiwon and Hui, Ferdinand K and Sair, Haris I and Hager, Gregory D and Fritz, Jan},
  journal={Pediatric radiology},
  volume={49},
  number={8},
  pages={1066--1070},
  year={2019},
  publisher={Springer Berlin Heidelberg}
}

@article{dipietro2019segmenting,
  title={Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks},
  author={DiPietro, Robert and Ahmidi, Narges and Malpani, Anand and Waldram, Madeleine and Lee, Gyusung I and Lee, Mija R and Vedula, S Swaroop and Hager, Gregory D},
  journal={International journal of computer assisted radiology and surgery},
  volume={14},
  number={11},
  pages={2005--2020},
  year={2019},
  publisher={Springer International Publishing}
}

@article{sinha2019endoscopic,
  title={Endoscopic navigation in the clinic: registration in the absence of preoperative imaging},
  author={Sinha, Ayushi and Ishii, Masaru and Hager, Gregory D and Taylor, Russell H},
  journal={International journal of computer assisted radiology and surgery},
  volume={14},
  number={9},
  pages={1495--1506},
  year={2019},
  publisher={Springer International Publishing}
}

@article{paul2019deep,
  title={Deep-learning-based semantic labeling for 2D mammography and comparison of complexity for machine learning tasks},
  author={Paul, H Yi and Lin, Abigail and Wei, Jinchi and Alice, C Yu and Sair, Haris I and Hui, Ferdinand K and Hager, Gregory D and Harvey, Susan C},
  journal={Journal of digital imaging},
  volume={32},
  number={4},
  pages={565--570},
  year={2019},
  publisher={Springer International Publishing}
}

@misc{hager2015systems,
  title={Systems and methods for training one or more training users},
  author={Hager, Gregory D and Reiley, Carol E and Varadarajann, Balakrishnan and Khudanpur, Sanjeev Pralhad and Lin, Henry C and Kumar, Rajesh},
  year={2015},
  month=nov # "~24",
  note={US Patent 9,196,176}
}

@inproceedings{dewan2007image,
  title={Image-Based Tracking of Heart Valves for Improved Motion Compensation},
  author={Dewan, M and Mayhew, D and Greiser, A and Hager, GD and Lorenz, CH},
  booktitle={Proceedings of the International Society for Magnetic Resonance Medicine (ISMRM), 15th Scientific Meeting in Berlin, Germany (Oral Presentation)},
  pages={870},
  year={2007}
}

@inproceedings{dipietro2019automated,
  title={Automated surgical activity recognition with one labeled sequence},
  author={DiPietro, Robert and Hager, Gregory D},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={458--466},
  year={2019},
  organization={Springer, Cham}
}

@inproceedings{katyal2019uncertainty,
  title={Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation},
  author={Katyal, Kapil and Popek, Katie and Paxton, Chris and Burlina, Phil and Hager, Gregory D},
  booktitle={2019 International Conference on Robotics and Automation (ICRA)},
  pages={5453--5459},
  year={2019},
  organization={IEEE}
}

@article{liu2020deep,
  title={Deep learning and transfer learning for optic disc laterality detection: Implications for machine learning in neuro-ophthalmology},
  author={Liu, TY Alvin and Ting, Daniel SW and Paul, H Yi and Wei, Jinchi and Zhu, Hongxi and Subramanian, Prem S and Li, Taibo and Hui, Ferdinand K and Hager, Gregory D and Miller, Neil R},
  journal={Journal of Neuro-Ophthalmology},
  volume={40},
  number={2},
  pages={178--184},
  year={2020},
  publisher={LWW}
}

@article{kim2020refining,
  title={Refining dataset curation methods for deep learning-based automated tuberculosis screening},
  author={Kim, Tae Kyung and Paul, H Yi and Hager, Gregory D and Lin, Cheng Ting},
  journal={Journal of Thoracic Disease},
  volume={12},
  number={9},
  pages={5078},
  year={2020},
  publisher={AME Publications}
}

@article{liu2019self,
  title={Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video},
  author={Liu, Xingtong and Sinha, Ayushi and Ishii, Masaru and Hager, Gregory D and Taylor, Russell H and Unberath, Mathias},
  journal={arXiv preprint arXiv:1909.03101},
  year={2019}
}

@article{hundt2019good,
  title={" Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping},
  author={Hundt, Andrew and Killeen, Benjamin and Kwon, Heeyeon and Paxton, Chris and Hager, Gregory D},
  year={2019}
}

@misc{guerin2019robot,
  title={Robot control, training and collaboration in an immersive virtual reality environment},
  author={Guerin, Kelleher and Hager, Gregory D},
  year={2019},
  month=sep # "~19",
  note={US Patent App. 16/433,162}
}

@article{murray2020artificial,
  title={Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review},
  author={Murray, Nick M and Unberath, Mathias and Hager, Gregory D and Hui, Ferdinand K},
  journal={Journal of neurointerventional surgery},
  volume={12},
  number={2},
  pages={156--164},
  year={2020},
  publisher={British Medical Journal Publishing Group}
}

@incollection{sinha2019recovering,
  title={Recovering Physiological Changes in Nasal Anatomy with Confidence Estimates},
  author={Sinha, Ayushi and Liu, Xingtong and Ishii, Masaru and Hager, Gregory D and Taylor, Russell H},
  booktitle={Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures},
  pages={115--124},
  year={2019},
  publisher={Springer, Cham}
}

@misc{lewis2007supports,
  title={Supports treated with triamine for immobilizing biomolecules},
  author={Lewis, Mark A},
  year={2007},
  month=mar # "~27",
  note={US Patent 7,195,908}
}

@inproceedings{kim2020autonomously,
  title={Autonomously navigating a surgical tool inside the eye by learning from demonstration},
  author={Kim, Ji Woong and He, Changyan and Urias, Muller and Gehlbach, Peter and Hager, Gregory D and Iordachita, Iulian and Kobilarov, Marin},
  booktitle={2020 IEEE International Conference on Robotics and Automation (ICRA)},
  pages={7351--7357},
  year={2020},
  organization={IEEE}
}

@incollection{hager2020surgical,
  title={Surgical data science},
  author={Hager, Gregory D and Maier-Hein, Lena and Vedula, S Swaroop},
  booktitle={Handbook of Medical Image Computing and Computer Assisted Intervention},
  pages={931--952},
  year={2020},
  publisher={Academic Press}
}

@incollection{dipietro2020deep,
  title={Deep learning: RNNs and LSTM},
  author={DiPietro, Robert and Hager, Gregory D},
  booktitle={Handbook of medical image computing and computer assisted intervention},
  pages={503--519},
  year={2020},
  publisher={Academic Press}
}

@article{katyaloccupancy,
  title={Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Robot Navigation},
  author={Katyal, Kapil and Popek, Katie and Paxton, Chris and Moore, Joseph and Wolfe, Kevin and Burlina, Philippe and Hager, Gregory D}
}

@article{liu2019dense,
  title={Dense depth estimation in monocular endoscopy with self-supervised learning methods},
  author={Liu, Xingtong and Sinha, Ayushi and Ishii, Masaru and Hager, Gregory D and Reiter, Austin and Taylor, Russell H and Unberath, Mathias},
  journal={IEEE transactions on medical imaging},
  volume={39},
  number={5},
  pages={1438--1447},
  year={2019},
  publisher={IEEE}
}

@article{peven2019action,
  title={Action Recognition Using Volumetric Motion Representations},
  author={Peven, Michael and Hager, Gregory D and Reiter, Austin},
  journal={arXiv preprint arXiv:1911.08511},
  year={2019}
}

@misc{guerin2019generation,
  title={Generation of robotic user interface responsive to connection of peripherals to robot},
  author={Guerin, Kelleher and Hager, Gregory},
  year={2019},
  month=nov # "~14",
  note={US Patent App. 16/520,873}
}

@article{zhang2019rsa,
  title={Rsa: Randomized simulation as augmentation for robust human action recognition},
  author={Zhang, Yi and Wei, Xinyue and Qiu, Weichao and Xiao, Zihao and Hager, Gregory D and Yuille, Alan},
  journal={arXiv preprint arXiv:1912.01180},
  year={2019}
}

@article{li2019car,
  title={Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints},
  author={Li, Pengfei and Qiu, Weichao and Peven, Michael and Hager, Gregory D and Yuille, Alan L},
  journal={arXiv preprint arXiv:1912.04363},
  year={2019}
}

@inproceedings{mu2020learning,
  title={Learning from synthetic animals},
  author={Mu, Jiteng and Qiu, Weichao and Hager, Gregory D and Yuille, Alan L},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12386--12395},
  year={2020}
}

@article{huisman1987pascal,
  title={Pascal and Francis Bibliographic Databases},
  author={HUISMAN, C},
  journal={Hemoglobin},
  volume={11},
  number={6},
  pages={581--673},
  year={1987}
}

@article{stone2016one,
  title={One hundred year study on artificial intelligence},
  author={Stone, Peter and Brooks, R and Brynjolfsson, E and Calo, R and Etzioni, O and Hager, G and Teller, A},
  journal={Artificial Intelligence and Life in},
  volume={2030},
  year={2016}
}

@article{paul2020automated,
  title={Automated detection & classification of knee arthroplasty using deep learning},
  author={Paul, H Yi and Wei, Jinchi and Kim, Tae Kyung and Sair, Haris I and Hui, Ferdinand K and Hager, Gregory D and Fritz, Jan and Oni, Julius K},
  journal={The Knee},
  volume={27},
  number={2},
  pages={535--542},
  year={2020},
  publisher={Elsevier}
}

@article{katyalintent,
  title={Intent-Aware Human Motion Prediction using Deep Generative Neural Networks},
  author={Katyal, Kapil D and Wang, I-Jeng and Hager, Gregory D and Huang, Chien-Ming}
}

@inproceedings{drobnis2018artificial,
  title={Artificial Intelligence: Augmenting Not Replacing People},
  author={Drobnis, Ann and Hager, Gregory},
  booktitle={2018 AAAS Annual Meeting},
  year={2018},
  organization={AAAS}
}

@article{swaroop2016perspectives,
  title={Perspectives on Surgical Data Science},
  author={Swaroop Vedula, S and Ishii, Masaru and Hager, Gregory D},
  journal={arXiv e-prints},
  pages={arXiv--1610},
  year={2016}
}

@article{gray2016santiago,
  title={SANTIAGO: Spine Association for Neuron Topology Improvement and Graph Optimization},
  author={Gray Roncal, William and Lea, Colin and Baruah, Akira and Hager, Gregory D},
  journal={arXiv e-prints},
  pages={arXiv--1608},
  year={2016}
}

@article{dipietro2017revisiting,
  title={Revisiting NARX recurrent neural networks for long-term dependencies},
  author={DiPietro, Robert and Navab, Nassir and Hager, Gregory D},
  journal={CoRR},
  year={2017}
}

@inproceedings{liu2020extremely,
  title={Extremely dense point correspondences using a learned feature descriptor},
  author={Liu, Xingtong and Zheng, Yiping and Killeen, Benjamin and Ishii, Masaru and Hager, Gregory D and Taylor, Russell H and Unberath, Mathias},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4847--4856},
  year={2020}
}

@inproceedings{katyal2020intent,
  title={Intent-aware pedestrian prediction for adaptive crowd navigation},
  author={Katyal, Kapil D and Hager, Gregory D and Huang, Chien-Ming},
  booktitle={2020 IEEE International Conference on Robotics and Automation (ICRA)},
  pages={3277--3283},
  year={2020},
  organization={IEEE}
}

@inproceedings{liu2020reconstructing,
  title={Reconstructing Sinus Anatomy from Endoscopic Video--Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment},
  author={Liu, Xingtong and Stiber, Maia and Huang, Jindan and Ishii, Masaru and Hager, Gregory D and Taylor, Russell H and Unberath, Mathias},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={3--13},
  year={2020},
  organization={Springer, Cham}
}

@inproceedings{hager2018machines,
  title={Machines Teaching People},
  author={Hager, Gregory},
  booktitle={2018 AAAS Annual Meeting},
  year={2018},
  organization={AAAS}
}

@inproceedings{hager2016confluence,
  title={The Confluence of Computing and Society: Emerging Themes in Socio-Technical Systems},
  author={Hager, Gregory D and Drobnis, Ann},
  booktitle={2016 AAAS Annual Meeting (February 11-15, 2016)},
  year={2016},
  organization={AAAS}
}

@inproceedings{hager2016computational,
  title={Computational Actors in a Physical World},
  author={Hager, Gregory D},
  booktitle={2016 AAAS Annual Meeting (February 11-15, 2016)},
  year={2016},
  organization={AAAS}
}

@article{hundt2020good,
  title={'93Good Robot!'94: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer},
  author={Hundt, Andrew and Killeen, Benjamin and Greene, Nicholas and Wu, Hongtao and Kwon, Heeyeon and Paxton, Chris and Hager, Gregory D},
  journal={IEEE Robotics and Automation Letters},
  volume={5},
  number={4},
  pages={6724--6731},
  year={2020},
  publisher={IEEE}
}

@inproceedings{abdelaal2020multimodal,
  title={Multimodal Training by Demonstration for Robot-Assisted Surgery},
  author={Abdelaal, Alaa Eldin and Hager, Gregory D and Salcudean, Septimiu E},
  booktitle={Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction},
  pages={549--551},
  year={2020}
}

@inproceedings{dhamo2020semantic,
  title={Semantic Image Manipulation Using Scene Graphs},
  author={Dhamo, Helisa and Farshad, Azade and Laina, Iro and Navab, Nassir and Hager, Gregory D and Tombari, Federico and Rupprecht, Christian},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5213--5222},
  year={2020}
}

@article{malpani2020effect,
  title={Effect of real-time virtual reality-based teaching cues on learning needle passing for robot-assisted minimally invasive surgery: a randomized controlled trial},
  author={Malpani, Anand and Vedula, S Swaroop and Lin, Henry C and Hager, Gregory D and Taylor, Russell H},
  journal={International journal of computer assisted radiology and surgery},
  volume={15},
  pages={1187--1194},
  year={2020},
  publisher={Springer International Publishing}
}

@article{yi2020automated,
  title={Automated detection and classification of shoulder arthroplasty models using deep learning},
  author={Yi, Paul H and Kim, Tae Kyung and Wei, Jinchi and Li, Xinning and Hager, Gregory D and Sair, Haris I and Fritz, Jan},
  journal={Skeletal radiology},
  volume={49},
  pages={1623--1632},
  year={2020},
  publisher={Springer Berlin Heidelberg}
}

@article{abdelaal2020multi,
  title={A multi-camera, multi-view system for training and skill assessment for robot-assisted surgery},
  author={Abdelaal, Alaa Eldin and Avinash, Apeksha and Kalia, Megha and Hager, Gregory D and Salcudean, Septimiu E},
  journal={International journal of computer assisted radiology and surgery},
  volume={15},
  pages={1369--1377},
  year={2020},
  publisher={Springer International Publishing}
}

@inproceedings{christie2020learning,
  title={Learning geocentric object pose in oblique monocular images},
  author={Christie, Gordon and Abujder, Rodrigo Rene Rai Munoz and Foster, Kevin and Hagstrom, Shea and Hager, Gregory D and Brown, Myron Z},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={14512--14520},
  year={2020}
}

@article{unberath2020artificial,
  title={Artificial Intelligence-Based Clinical Decision Support for COVID-19--Where Art Thou?},
  author={Unberath, Mathias and Ghobadi, Kimia and Levin, Scott and Hinson, Jeremiah and Hager, Gregory D},
  journal={Advanced Intelligent Systems},
  volume={2},
  number={9},
  pages={2000104},
  year={2020}
}

@inproceedings{hager2000frob,
  title={FROB: A Transformational Approach},
  author={Hager, Gregory D and Peterson, John},
  booktitle={Robotics Research: The Nineth International Symposium},
  pages={257},
  year={2000},
  organization={Springer}
}

@inproceedings{chen2020anatomy,
  title={Anatomy-aware siamese network: Exploiting semantic asymmetry for accurate pelvic fracture detection in x-ray images},
  author={Chen, Haomin and Wang, Yirui and Zheng, Kang and Li, Weijian and Chang, Chi-Tung and Harrison, Adam P and Xiao, Jing and Hager, Gregory D and Lu, Le and Liao, Chien-Hung and others},
  booktitle={European Conference on Computer Vision},
  pages={239--255},
  year={2020},
  organization={Springer, Cham}
}

@inproceedings{katyal2020prediction,
  title={Prediction-Based Uncertainty Estimation for Adaptive Crowd Navigation},
  author={Katyal, Kapil D and Popek, Katie and Hager, Gregory D and Wang, I-Jeng and Huang, Chien-Ming},
  booktitle={International Conference on Human-Computer Interaction},
  pages={353--368},
  year={2020},
  organization={Springer, Cham}
}

@inproceedings{lucey2009automatically,
  title={Automatically detecting pain using facial actions},
  author={Lucey, Patrick and Cohn, Jeffrey and Lucey, Simon and Matthews, Iain and Sridharan, Sridha and Prkachin, Kenneth M},
  booktitle={2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops},
  pages={1--8},
  year={2009},
  organization={IEEE}
}

@inproceedings{zohar2020accurate,
  title={Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning},
  author={Zohar, Maya and Bar, Omri and Neimark, Daniel and Hager, Gregory D and Asselmann, Dotan},
  booktitle={Medical Imaging with Deep Learning},
  pages={923--936},
  year={2020},
  organization={PMLR}
}

@incollection{li2020learning,
  title={Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision},
  author={Li, David Z and Ishii, Masaru and Taylor, Russell H and Hager, Gregory D and Sinha, Ayushi},
  booktitle={Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures},
  pages={54--63},
  year={2020},
  publisher={Springer, Cham}
}

@article{engh2010percutaneous,
  title={Percutaneous intracerebral navigation by duty-cycled spinning of flexible bevel-tipped needles},
  author={Engh, Johnathan A and Minhas, Davneet S and Kondziolka, Douglas and Riviere, Cameron N},
  journal={Neurosurgery},
  volume={67},
  number={4},
  pages={1117--1123},
  year={2010},
  publisher={Oxford University Press}
}

@article{chen2020deep,
  title={Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies},
  author={Chen, Haomin and Miao, Shun and Xu, Daguang and Hager, Gregory D and Harrison, Adam P},
  journal={Medical image analysis},
  volume={66},
  pages={101811},
  year={2020},
  publisher={Elsevier}
}

@article{schreckenghost2010measuring,
  title={Measuring performance in real time during remote human-robot operations with adjustable autonomy},
  author={Schreckenghost, Debra and Milam, Tod and Fong, Terrence},
  journal={IEEE Intelligent Systems},
  volume={25},
  number={5},
  pages={36--45},
  year={2010},
  publisher={IEEE}
}

@misc{wegbreit2020system,
  title={System and Method for Constructing a 3D Scene Model From an Image},
  author={Wegbreit, Eliot Leonard and Hager, Gregory D},
  year={2020},
  month=aug # "~27",
  note={US Patent App. 16/870,943}
}

@misc{guerin2020method,
  title={Method, device, and computer-readable medium for mobile device management of collaborative industrial robot},
  author={Guerin, Kelleher and Hager, Gregory},
  year={2020},
  month=oct # "~8",
  note={US Patent App. 16/854,779}
}

@article{hager2020role,
  title={The Role of Robotics in Infectious Disease Crises},
  author={Hager, Gregory and Kumar, Vijay and Murphy, Robin and Rus, Daniela and Taylor, Russell},
  journal={arXiv preprint arXiv:2010.09909},
  year={2020}
}

@article{kunwar2020large,
  title={Large-scale semantic 3D reconstruction: Outcome of the 2019 IEEE GRSS data fusion contest-Part A},
  author={Kunwar, Saket and Chen, Hongyu and Lin, Manhui and Zhang, Hongyan and Dangelo, Pablo and Cerra, Daniele and Azimi, Seyed Majid and Brown, Myron and Hager, Gregory and Yokoya, Naoto and others},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2020},
  publisher={IEEE}
}

@article{lian2020large,
  title={Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest'97Part B},
  author={Lian, Yanchao and Feng, Tuo and Zhou, Jinliu and Jia, Meixia and Li, Aijin and Wu, Zhaoyang and Jiao, Licheng and Brown, Myron and Hager, Gregory and Yokoya, Naoto and others},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={14},
  pages={1158--1170},
  year={2020},
  publisher={IEEE}
}

@article{maier2020surgical,
  title={Surgical Data Science--from Concepts to Clinical Translation},
  author={Maier-Hein, Lena and Eisenmann, Matthias and Sarikaya, Duygu and M{"a}rz, Keno and Collins, Toby and Malpani, Anand and Fallert, Johannes and Feussner, Hubertus and Giannarou, Stamatia and Mascagni, Pietro and others},
  journal={arXiv preprint arXiv:2011.02284},
  year={2020}
}

@article{liu2020nothing,
  title={Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation},
  author={Liu, Qihao and Qiu, Weichao and Wang, Weiyao and Hager, Gregory D and Yuille, Alan L},
  journal={arXiv preprint arXiv:2012.00088},
  year={2020}
}

@article{gonzalez2020desk,
  title={From the DESK (Dexterous Surgical Skill) to the Battlefield--A Robotics Exploratory Study},
  author={Gonzalez, Glebys T and Kaur, Upinder and Rahma, Masudur and Venkatesh, Vishnunandan and Sanchez, Natalia and Hager, Gregory and Xue, Yexiang and Voyles, Richard and Wachs, Juan},
  journal={arXiv preprint arXiv:2011.15100},
  year={2020}
}

@article{jones2021fine,
  title={Fine-grained activity recognition for assembly videos},
  author={Jones, Jonathan D and Cortesa, Cathryn and Shelton, Amy and Landau, Barbara and Khudanpur, Sanjeev and Hager, Gregory D},
  journal={IEEE Robotics and Automation Letters},
  volume={6},
  number={2},
  pages={3728--3735},
  year={2021},
  publisher={IEEE}
}

@article{eldin2020orientation,
  title={Orientation Matters: 6-DoF Autonomous Camera Movement for Minimally Invasive Surgery},
  author={Eldin Abdelaal, Alaa and Hong, Nancy and Avinash, Apeksha and Budihal, Divya and Sakr, Maram and Hager, Gregory D and Salcudean, Septimiu E},
  journal={arXiv e-prints},
  pages={arXiv--2012},
  year={2020}
}

@article{abdelaal2020orientation,
  title={Orientation Matters: 6-DoF Autonomous Camera Movement for Minimally Invasive Surgery},
  author={Abdelaal, Alaa Eldin and Hong, Nancy and Avinash, Apeksha and Budihal, Divya and Sakr, Maram and Hager, Gregory D and Salcudean, Septimiu E},
  journal={arXiv preprint arXiv:2012.02836},
  year={2020}
}

@article{choi2021use,
  title={On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward},
  author={Choi, HeeSun and Crump, Cindy and Duriez, Christian and Elmquist, Asher and Hager, Gregory and Han, David and Hearl, Frank and Hodgins, Jessica and Jain, Abhinandan and Leve, Frederick and others},
  journal={Proceedings of the National Academy of Sciences},
  volume={118},
  number={1},
  year={2021},
  publisher={National Academy of Sciences}
}

@article{bar2020impact,
  title={Impact of data on generalization of AI for surgical intelligence applications},
  author={Bar, Omri and Neimark, Daniel and Zohar, Maya and Hager, Gregory D and Girshick, Ross and Fried, Gerald M and Wolf, Tamir and Asselmann, Dotan},
  journal={Scientific reports},
  volume={10},
  number={1},
  pages={1--12},
  year={2020},
  publisher={Nature Publishing Group}
}

@article{hager1996tutorial,
  title={A tutorial on visual servo control},
  author={Hager, Gregory D and Hutchinson, Seth and Corke, PI},
  journal={IEEE Transactions on Robotics and Automation},
  volume={12},
  number={5},
  pages={651--670},
  year={1996}
}

@misc{hager1998confluence,
  title={The confluence of vision and control},
  author={Hager, Gregory D and Morse, A Stephen},
  year={1998},
  publisher={Springer-Verlag}
}

@misc{amidi1999vision,
  title={Vision-based autonomous helicopter research at Carnegie Mellon robotics institute (1991-1998)},
  author={Amidi, Omead and Kanade, Takeo and Miller, Ryan and Vincze, M and Hager, GD},
  journal={Robust vision for vision-based control of motion},
  pages={221--232},
  year={1999},
  publisher={IEEE press and SPIE Optical Engineering press, New York, USA}
}

@techreport{stone2016one,
  title={One hundred year study on artificial intelligence: Report of the 2015-2016 study panel},
  author={Stone, Peter and Brooks, Rodney and Brynjolfsson, Erik and Calo, Ryan and Etzioni, Oren and Hager, Greg and Hirschberg, Julia and Kalyanakrishnan, Shivaram and Kamar, Ece and Kraus, Sarit and others},
  year={2016},
  institution={Technical report, Stanford University}
}

@article{paul2021deepcat,
  title={DeepCAT: Deep Computer-Aided Triage of Screening Mammography},
  author={Paul, H Yi and Singh, Dhananjay and Harvey, Susan C and Hager, Gregory D and Mullen, Lisa A},
  journal={Journal of Digital Imaging},
  volume={34},
  number={1},
  pages={27--35},
  year={2021},
  publisher={Springer International Publishing}
}

@article{hager2000chapter,
  title={Chapter INCREMENTAL FOCUS OF ATTENTION: A LAYERED APPROACH TO ROBUST VISION},
  author={Hager, Gregory D and Dodds, Zachary},
  journal={Robust Vision for Vision-based Control of Motion},
  volume={73},
  pages={27},
  year={2000},
  publisher={Society of Photo Optical}
}

@article{cai2021deep,
  title={Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy},
  author={Cai, Sophie and Parker, Felix and Urias, Muller G and Goldberg, Morton F and Hager, Gregory D and Scott, Adrienne W},
  journal={JAMA ophthalmology},
  volume={139},
  number={2},
  pages={206--213},
  year={2021},
  publisher={American Medical Association}
}

@article{stone2016one,
  title={One hundred year study on artificial intelligence (AI100)},
  author={Stone, Peter and Brooks, R and Brynjolfsson, E and Calo, R and Etzioni, O and Hager, G and Hirschberg, J and Kalyanakrishnan, S and Kamar, E and Kraus, S and others},
  journal={Stanford University dispon{'i}vel em https://ai100. stanford. edu consultado em},
  volume={3},
  pages={19},
  year={2016}
}

@article{gray2014vesicle,
  title={VESICLE: Volumetric evaluation of synaptic interfaces using computer vision at large scale},
  author={Gray Roncal, William and Pekala, Michael and Kaynig-Fittkau, Verena and Kleissas, Dean M and Vogelstein, Joshua T and Pfister, Hanspeter and Burns, Randal and Vogelstein, R Jacob and Chevillet, Mark A and Hager, Gregory D},
  journal={arXiv e-prints},
  pages={arXiv--1403},
  year={2014}
}

@article{yi2021deepcat,
  title={DeepCAT: Deep Computer-Aided Triage of Screening Mammography.},
  author={Yi, Paul H and Singh, Dhananjay and Harvey, Susan C and Hager, Gregory D and Mullen, Lisa A},
  journal={Journal of Digital Imaging},
  year={2021}
}

@article{gonzalez2021dexterous,
  title={From the Dexterous Surgical Skill to the Battlefield'97A Robotics Exploratory Study},
  author={Gonzalez, Glebys T and Kaur, Upinder and Rahman, Masudur and Venkatesh, Vishnunandan and Sanchez, Natalia and Hager, Gregory and Xue, Yexiang and Voyles, Richard and Wachs, Juan},
  journal={Military Medicine},
  volume={186},
  number={Supplement_1},
  pages={288--294},
  year={2021},
  publisher={Oxford University Press US}
}

@article{neimark2021train,
  title={" Train one, Classify one, Teach one"--Cross-surgery transfer learning for surgical step recognition},
  author={Neimark, Daniel and Bar, Omri and Zohar, Maya and Hager, Gregory D and Asselmann, Dotan},
  journal={arXiv preprint arXiv:2102.12308},
  year={2021}
}

@article{abdelaal2021parallelism,
  title={Parallelism in Autonomous Robotic Surgery},
  author={Abdelaal, Alaa Eldin and Liu, Jordan and Hong, Nancy and Hager, Gregory D and Salcudean, Septimiu E},
  journal={IEEE Robotics and Automation Letters},
  volume={6},
  number={2},
  pages={1824--1831},
  year={2021},
  publisher={IEEE}
}

gha_license_id: MIT

gha_language: TeX


text:
require fakeroot.inc
PR = "${INC_PR}.0"

SRC_URI =+ "\
  ${DEBIAN_MIRROR}/main/f/fakeroot/fakeroot_${PV}.orig.tar.bz2 \
  file://quiet-getopt-check.patch \
"

SRC_URI[md5sum] = "659a1f3a36554abfc2a3eaad2fdc0604"
SRC_URI[sha256] = "b035c834944bf9482027f48c388de8492e96609825265ac03f05408d0b3aae68"

license: MIT

repository: overo/overo-oe-natty

license_type: permissive

repo_name: overo/overo-oe-natty

branch_name: HEAD

extension: bb


text:
@article{gammafilter,
  title={The Gamma Filter-A New Class of Adaptive IIR
Filters with Restricted Feedback},
  author={J.C. Principe, B. de Vries, P.G. de Oliviera},
  year={1993},
  journal={IEEE Transactions on Signal Processing},
  volume={Volume 4}
}

@article{grassmannian,
  title={Grassmannian},
  author={Barile, Margherita; Rowland, Todd; and Weisstein, Eric W.},
  journal={From MathWorld--A Wolfram Web Resource.},
  url={http://mathworld.wolfram.com/Grassmannian.html}
 }

repository: vaibrainium/NeurExpo

repo_name: vaibrainium/NeurExpo

branch_name: refs/heads/master

extension: bib


text:
SRCREV = "${AUTOREV}"
SRCREV_arm = "${AUTOREV}"
MODULE = "1.10"
OSCAMBIN = "oscam-unstable"
OSCAMDEPENS = "openssl"
OSCAMRDEPENDS ="openssl"
URI = "svn://oscam.to/svn/oscam/tags;module=1.10;proto=http;scmdata=keep"
URI_arm = "git://github.com/openpli-arm/oscam-stable.git;protocol=git;branch=master"
SSL = "DWITH_SSL=1"
PCSC = "DHAVE_PCSC=0"
ALTERNATIVE_PRIORITY = "10"
require oscam-bin.inc


text:
SECTION = "kernel"
SUMMARY = "Linux for Tegra kernel recipe"
DESCRIPTION = "Linux kernel from sources provided by Nvidia for Tegra processors."
LICENSE = "GPLv2"
LIC_FILES_CHKSUM = "file://COPYING;md5=d7810fab7487fb0aad327b76f1be7cd7"

inherit l4t_bsp
require recipes-kernel/linux/linux-yocto.inc

LINUX_VERSION ?= "4.9.140"
PV = "${LINUX_VERSION}+git${SRCPV}"
FILESEXTRAPATHS_prepend := "${THISDIR}/${BPN}-${@bb.parse.BBHandler.vars_from_file(d.getVar('FILE', False),d)[1]}:"

LINUX_VERSION_EXTENSION ?= "-l4t-r${L4T_VERSION}"
SCMVERSION ??= "y"

SRCBRANCH = "patches${LINUX_VERSION_EXTENSION}"
SRCREV = "${AUTOREV}"
KBRANCH = "${SRCBRANCH}"
SRC_REPO = "github.com/madisongh/linux-tegra-4.9"
KERNEL_REPO = "${SRC_REPO}"
SRC_URI = "git://${KERNEL_REPO};name=machine;branch=${KBRANCH} \
	   ${@'file://localversion_auto.cfg' if d.getVar('SCMVERSION') == 'y' else ''} \
"

KBUILD_DEFCONFIG = "tegra_defconfig"
KCONFIG_MODE = "--alldefconfig"

set_scmversion() {
    if [ "${SCMVERSION}" = "y" -a -d "${S}/.git" ]; then
        head=$(git --git-dir=${S}/.git rev-parse --verify --short HEAD 2>/dev/null || true)
        [ -z "$head" ] || echo "+g$head" > ${S}/.scmversion
    fi
}
do_kernel_checkout[postfuncs] += "set_scmversion"

bootimg_from_bundled_initramfs() {
    if [ ! -z "${INITRAMFS_IMAGE}" -a "${INITRAMFS_IMAGE_BUNDLE}" = "1" ]; then
        rm -f ${WORKDIR}/initrd
	touch ${WORKDIR}/initrd
        for imageType in ${KERNEL_IMAGETYPES} ; do
	    if [ "$imageType" = "fitImage" ] ; then
	        continue
	    fi
	    initramfs_base_name=${imageType}-${INITRAMFS_NAME}
	    initramfs_symlink_name=${imageType}-${INITRAMFS_LINK_NAME}
	    ${STAGING_BINDIR_NATIVE}/tegra186-flash/mkbootimg \
				    --kernel $deployDir/${initramfs_base_name}.bin \
				    --ramdisk ${WORKDIR}/initrd \
				    --output $deployDir/${initramfs_base_name}.cboot
	    chmod 0644 $deployDir/${initramfs_base_name}.cboot
	    ln -sf ${initramfs_base_name}.cboot $deployDir/${initramfs_symlink_name}.cboot
	done
    fi
}
do_deploy_append_tegra186() {
    bootimg_from_bundled_initramfs
}
do_deploy_append_tegra194() {
    bootimg_from_bundled_initramfs
}

EXTRADEPLOYDEPS = ""
EXTRADEPLOYDEPS_tegra186 = "tegra186-flashtools-native:do_populate_sysroot"
EXTRADEPLOYDEPS_tegra194 = "tegra186-flashtools-native:do_populate_sysroot"
do_deploy[depends] += "${EXTRADEPLOYDEPS}"

COMPATIBLE_MACHINE = "(tegra)"

RDEPENDS_${KERNEL_PACKAGE_NAME}-base = "${@'' if d.getVar('PREFERRED_PROVIDER_virtual/bootloader').startswith('cboot') else '${KERNEL_PACKAGE_NAME}-image'}"

repository: b-man/meta-tegra

repo_name: b-man/meta-tegra


text:
.background_ghostWhite3,
.hover_background_ghostWhite3:hover,
.active_background_ghostWhite3:active:hover {
    background: #2424ff;
    background-image: -moz-linear-gradient(top,  rgb(108, 108, 255) 0%, rgb(36, 36, 255) 100%);
    background-image: -webkit-gradient(linear, left top, left bottom, color-stop(0%, rgb(108, 108, 255)), color-stop(100%, rgb(36, 36, 255)));
    background-image: -webkit-linear-gradient(top,  rgb(108, 108, 255) 0%, rgb(36, 36, 255) 100%);
    background-image: -o-linear-gradient(top,  rgb(108, 108, 255) 0%, rgb(36, 36, 255) 100%);
    background-image: -ms-linear-gradient(top, rgb(108, 108, 255) 0%, rgb(36, 36, 255) 100%);
    background-image: linear-gradient(to bottom,  rgb(108, 108, 255) 0%, rgb(36, 36, 255) 100%);
    filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#6c6cff', endColorstr='#2424ff',GradientType=0 );
}

.background_ghostWhite3h,
.hover_background_ghostWhite3h:hover,
.active_background_ghostWhite3h:active:hover {
    background: #2424ff;
    background-image: -moz-linear-gradient(top,  rgb(181, 181, 255) 0%, rgb(94, 94, 255) 100%);
    background-image: -webkit-gradient(linear, left top, left bottom, color-stop(0%, rgb(181, 181, 255)), color-stop(100%, rgb(94, 94, 255)));
    background-image: -webkit-linear-gradient(top,  rgb(181, 181, 255) 0%, rgb(94, 94, 255) 100%);
    background-image: -o-linear-gradient(top,  rgb(181, 181, 255) 0%, rgb(94, 94, 255) 100%);
    background-image: -ms-linear-gradient(top, rgb(181, 181, 255) 0%, rgb(94, 94, 255) 100%);
    background-image: linear-gradient(to bottom,  rgb(181, 181, 255) 0%, rgb(94, 94, 255) 100%);
    filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#b5b5ff', endColorstr='#5e5eff',GradientType=0 );
}

.background_ghostWhite3a,
.hover_background_ghostWhite3a:hover,
.active_background_ghostWhite3a:active:hover {
    background: #2424ff;
    background-image: -moz-linear-gradient(top,  rgb(94, 94, 255) 0%, rgb(181, 181, 255) 100%);
    background-image: -webkit-gradient(linear, left top, left bottom, color-stop(0%, rgb(94, 94, 255)), color-stop(100%, rgb(181, 181, 255)));
    background-image: -webkit-linear-gradient(top,  rgb(94, 94, 255) 0%, rgb(181, 181, 255) 100%);
    background-image: -o-linear-gradient(top,  rgb(94, 94, 255) 0%, rgb(181, 181, 255) 100%);
    background-image: -ms-linear-gradient(top, rgb(94, 94, 255) 0%, rgb(181, 181, 255) 100%);
    background-image: linear-gradient(to bottom,  rgb(94, 94, 255) 0%, rgb(181, 181, 255) 100%);
    filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#5e5eff', endColorstr='#b5b5ff',GradientType=0 );
}

.background_ghostWhite3s,
.hover_background_ghostWhite3s:hover,
.active_background_ghostWhite3s:active:hover {
    background: #2424ff;
    background-image: -moz-linear-gradient(top,  rgb(255, 255, 255) 0%, rgb(181, 181, 255) 100%);
    background-image: -webkit-gradient(linear, left top, left bottom, color-stop(0%, rgb(255, 255, 255)), color-stop(100%, rgb(181, 181, 255)));
    background-image: -webkit-linear-gradient(top,  rgb(255, 255, 255) 0%, rgb(181, 181, 255) 100%);
    background-image: -o-linear-gradient(top,  rgb(255, 255, 255) 0%, rgb(181, 181, 255) 100%);
    background-image: -ms-linear-gradient(top, rgb(255, 255, 255) 0%, rgb(181, 181, 255) 100%);
    background-image: linear-gradient(to bottom,  rgb(255, 255, 255) 0%, rgb(181, 181, 255) 100%);
    filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#ffffff', endColorstr='#b5b5ff',GradientType=0 );
}

.background_color_ghostWhite3,
.hover_background_color_ghostWhite3:hover,
.active_background_color_ghostWhite3:active:hover {
    background-color:#2424ff;
}

.background_first_color_ghostWhite3,
.hover_background_first_color_ghostWhite3:hover,
.active_background_first_color_ghostWhite3:active:hover {
    background-color:#6c6cff;
}

.background_last_color_ghostWhite3,
.hover_background_last_color_ghostWhite3:hover,
.active_background_color_last_ghostWhite3:active:hover {
   background-color:#2424ff;
}

/* ------------------------------ color settings -------------------------------*/
.color_ghostWhite3,
.hover_color_ghostWhite3:hover,
.active_color_ghostWhite3:active:hover {
    color: #c8c8c8;
}

.color_ghostWhite3h,
.hover_color_ghostWhite3h:hover,
.active_color_ghostWhite3h:active:hover {
    color: #c8c8c8;
}

.color_ghostWhite3a,
.hover_color_ghostWhite3a:hover,
.active_color_ghostWhite3a:active:hover {
    color: #ff0;
}

.color_ghostWhite3s,
.hover_color_ghostWhite3s:hover,
.active_color_ghostWhite3s:active:hover {
    color: #dd0;
}

/* -------------------------- border color settings -----------------------------*/
.border_ghostWhite3,
.hover_border_ghostWhite3:hover,
.active_border_ghostWhite3:active:hover {
    border-color: #2424ff #2424ff #2424ff #2424ff;
}

.border_ghostWhite3h,
.hover_border_ghostWhite3h:hover,
.active_border_ghostWhite3h:active:hover {
    border-color: #0707ff #0707ff #0707ff #0707ff;
}

.border_ghostWhite3a,
.hover_border_ghostWhite3a:hover,
.active_border_ghostWhite3a:active:hover {
    border-color: #0000e9 #0000e9 #0000e9 #0000e9;
}

.border_ghostWhite3s,
.hover_border_ghostWhite3s:hover,
.active_border_ghostWhite3s:active:hover {
    border-color: #b5b5ff #b5b5ff #b5b5ff #b5b5ff;
}

/* -------------------------- shadow expand settings --------------------------------*/
.shadow_expand_ghostWhite3,
.hover_shadow_expand_ghostWhite3:hover,
.active_shadow_expand_ghostWhite3:active:hover {
    -webkit-box-shadow: 0em 0em 1em 0.25em rgba(36, 36, 255, .39);
    -moz-box-shadow: 0em 0em 1em 0.25em rgba(36, 36, 255, .39);
    box-shadow: 0em 0em 1em 0.25em rgba(36, 36, 255, .39);
}

.shadow_expand_ghostWhite3h,
.hover_shadow_expand_ghostWhite3h:hover,
.active_shadow_expand_ghostWhite3h:active:hover {
    -webkit-box-shadow: 0em 0em 1em 0.25em rgba(94, 94, 255, .50);
    -moz-box-shadow: 0em 0em 1em 0.25em rgba(94, 94, 255, .50);
    box-shadow: 0em 0em 1em 0.25em rgba(94, 94, 255, .50);
}

.shadow_expand_ghostWhite3a,
.hover_shadow_expand_ghostWhite3a:hover,
.active_shadow_expand_ghostWhite3a:active:hover {
    -webkit-box-shadow: 0em 0em 1em 0.25em rgba(181, 181, 255, .63);
    -moz-box-shadow: 0em 0em 1em 0.25em rgba(181, 181, 255, .63);
    box-shadow: 0em 0em 1em 0.25em rgba(181, 181, 255, .63);
}

.shadow_expand_ghostWhite3s,
.hover_shadow_expand_ghostWhite3s:hover,
.active_shadow_expand_ghostWhite3s:active:hover {
    -webkit-box-shadow: 0em 0em 1em 0.25em rgba(181, 181, 255, .78);
    -moz-box-shadow: 0em 0em 1em 0.25em rgba(181, 181, 255, .78);
    box-shadow: 0em 0em 1em 0.25em rgba(181, 181, 255, .78);
}

/* -------------------------- shadow left settings --------------------------------*/
.shadow_left_ghostWhite3,
.hover_shadow_left_ghostWhite3:hover,
.active_shadow_left_ghostWhite3:active:hover {
    -webkit-box-shadow: -0.5em -0.5em 1em rgba(36, 36, 255, .39);
    -moz-box-shadow: -0.5em -0.5em 1em rgba(36, 36, 255, .39);
    box-shadow: -0.5em -0.5em 1em rgba(36, 36, 255, .39);
}

.shadow_left_ghostWhite3h,
.hover_shadow_left_ghostWhite3h:hover,
.active_shadow_left_ghostWhite3h:active:hover {
    -webkit-box-shadow: -0.5em -0.5em 1em rgba(94, 94, 255, .50);
    -moz-box-shadow: -0.5em -0.5em 1em rgba(94, 94, 255, .50);
    box-shadow: -0.5em -0.5em 1em rgba(94, 94, 255, .50);
}

.shadow_left_ghostWhite3a,
.hover_shadow_left_ghostWhite3a:hover,
.active_shadow_left_ghostWhite3a:active:hover {
    -webkit-box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .63);
    -moz-box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .63);
    box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .63);
}

.shadow_left_ghostWhite3s,
.hover_shadow_left_ghostWhite3s:hover,
.active_shadow_left_ghostWhite3s:active:hover {
    -webkit-box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .78);
    -moz-box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .78);
    box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .78);
}

/* -------------------------- shadow right settings --------------------------------*/
.shadow_right_ghostWhite3,
.hover_shadow_right_ghostWhite3:hover,
.active_shadow_right_ghostWhite3:active:hover {
    -webkit-box-shadow: 0.5em 0em 1em rgba(36, 36, 255, .39);
    -moz-box-shadow: 0.5em 0em 1em rgba(36, 36, 255, .39);
    box-shadow: 0.5em 0em 1em rgba(36, 36, 255, .39);
}

.shadow_right_ghostWhite3h,
.hover_shadow_right_ghostWhite3h:hover,
.active_shadow_right_ghostWhite3h:active:hover {
    -webkit-box-shadow: 0.5em 0em 1em rgba(94, 94, 255, .50);
    -moz-box-shadow: 0.5em 0em 1em rgba(94, 94, 255, .50);
    box-shadow: 0.5em 0em 1em rgba(94, 94, 255, .50);
}

.shadow_right_ghostWhite3a,
.hover_shadow_right_ghostWhite3a:hover,
.active_shadow_right_ghostWhite3a:active:hover {
    -webkit-box-shadow: 0.5em 0em 1em rgba(181, 181, 255, .63);
    -moz-box-shadow: 0.5em 0em 1em rgba(181, 181, 255, .63);
    box-shadow: 0.5em 0em 1em rgba(181, 181, 255, .63);
}

.shadow_right_ghostWhite3s,
.hover_shadow_right_ghostWhite3s:hover,
.active_shadow_right_ghostWhite3s:active:hover {
    -webkit-box-shadow: 0.5em 0em 1em rgba(181, 181, 255, .78);
    -moz-box-shadow: 0.5em 0em 1em rgba(181, 181, 255, .78);
    box-shadow: 0.5em 0em 1em rgba(181, 181, 255, .78);
}

/* -------------------------- shadow top settings --------------------------------*/
.shadow_top_ghostWhite3,
.hover_shadow_top_ghostWhite3:hover,
.active_shadow_top_ghostWhite3:active:hover {
    -webkit-box-shadow: 0em -0.5em 1em rgba(36, 36, 255, .39);
    -moz-box-shadow: 0em -0.5em 1em rgba(36, 36, 255, .39);
    box-shadow: 0em -0.5em 1em rgba(36, 36, 255, .39);
}

.shadow_top_ghostWhite3h,
.hover_shadow_top_ghostWhite3h:hover,
.active_shadow_top_ghostWhite3h:active:hover {
    -webkit-box-shadow: 0em -0.5em 1em rgba(94, 94, 255, .50);
    -moz-box-shadow: 0em -0.5em 1em rgba(94, 94, 255, .50);
    box-shadow: 0em -0.5em 1em rgba(94, 94, 255, .50);
}

.shadow_top_ghostWhite3a,
.hover_shadow_top_ghostWhite3a:hover,
.active_shadow_top_ghostWhite3a:active:hover {
    -webkit-box-shadow: 0em -0.5em 1em rgba(181, 181, 255, .63);
    -moz-box-shadow: 0em -0.5em 1em rgba(181, 181, 255, .63);
    box-shadow: 0em -0.5em 1em rgba(181, 181, 255, .63);
}

.shadow_top_ghostWhite3s,
.hover_shadow_top_ghostWhite3s:hover,
.active_shadow_top_ghostWhite3s:active:hover {
    -webkit-box-shadow: 0em -0.5em 1em rgba(181, 181, 255, .78);
    -moz-box-shadow: 0em -0.5em 1em rgba(181, 181, 255, .78);
    box-shadow: 0em -0.5em 1em rgba(181, 181, 255, .78);
}

/* -------------------------- shadow bottom settings --------------------------------*/
.shadow_bottom_ghostWhite3,
.hover_shadow_bottom_ghostWhite3:hover,
.active_shadow_bottom_ghostWhite3:active:hover {
    -webkit-box-shadow: 0em 0.5em 1em rgba(36, 36, 255, .39);
    -moz-box-shadow: 0em 0.5em 1em rgba(36, 36, 255, .39);
    box-shadow: 0em 0.5em 1em rgba(36, 36, 255, .39);
}

.shadow_bottom_ghostWhite3h,
.hover_shadow_bottom_ghostWhite3h:hover,
.active_shadow_bottom_ghostWhite3h:active:hover {
    -webkit-box-shadow: 0em 0.5em 1em rgba(94, 94, 255, .50);
    -moz-box-shadow: 0em 0.5em 1em rgba(94, 94, 255, .50);
    box-shadow: 0em 0.5em 1em rgba(94, 94, 255, .50);
}

.shadow_bottom_ghostWhite3a,
.hover_shadow_bottom_ghostWhite3a:hover,
.active_shadow_bottom_ghostWhite3a:active:hover {
    -webkit-box-shadow: 0em 0.5em 1em rgba(181, 181, 255, .63);
    -moz-box-shadow: 0em 0.5em 1em rgba(181, 181, 255, .63);
    box-shadow: 0em 0.5em 1em rgba(181, 181, 255, .63);
}

.shadow_bottom_ghostWhite3s,
.hover_shadow_bottom_ghostWhite3s:hover,
.active_shadow_bottom_ghostWhite3s:active:hover {
    -webkit-box-shadow: 0em 0.5em 1em rgba(181, 181, 255, .78);
    -moz-box-shadow: 0em 0.5em 1em rgba(181, 181, 255, .78);
    box-shadow: 0em 0.5em 1em rgba(181, 181, 255, .78);
}

/* -------------------------- shadow top_left settings --------------------------------*/
.shadow_top_left_ghostWhite3,
.hover_shadow_top_left_ghostWhite3:hover,
.active_shadow_top_left_ghostWhite3:active:hover {
    -webkit-box-shadow: -0.5em -0.5em 1em rgba(36, 36, 255, .39);
    -moz-box-shadow: -0.5em -0.5em 1em rgba(36, 36, 255, .39);
    box-shadow: -0.5em -0.5em 1em rgba(36, 36, 255, .39);
}

.shadow_top_left_ghostWhite3h,
.hover_shadow_top_left_ghostWhite3h:hover,
.active_shadow_top_left_ghostWhite3h:active:hover {
    -webkit-box-shadow: -0.5em -0.5em 1em rgba(94, 94, 255, .50);
    -moz-box-shadow: -0.5em -0.5em 1em rgba(94, 94, 255, .50);
    box-shadow: -0.5em -0.5em 1em rgba(94, 94, 255, .50);
}

.shadow_top_left_ghostWhite3a,
.hover_shadow_top_left_ghostWhite3a:hover,
.active_shadow_top_left_ghostWhite3a:active:hover {
    -webkit-box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .63);
    -moz-box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .63);
    box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .63);
}

.shadow_top_left_ghostWhite3s,
.hover_shadow_top_left_ghostWhite3s:hover,
.active_shadow_top_left_ghostWhite3s:active:hover {
    -webkit-box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .78);
    -moz-box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .78);
    box-shadow: -0.5em -0.5em 1em rgba(181, 181, 255, .78);
}

/* -------------------------- shadow top_right settings --------------------------------*/
.shadow_top_right_ghostWhite3,
.hover_shadow_top_right_ghostWhite3:hover,
.active_shadow_top_right_ghostWhite3:active:hover {
    -webkit-box-shadow: 0.5em -0.5em 1em rgba(36, 36, 255, .39);
    -moz-box-shadow: 0.5em -0.5em 1em rgba(36, 36, 255, .39);
    box-shadow: 0.5em -0.5em 1em rgba(36, 36, 255, .39);
}

.shadow_top_right_ghostWhite3h,
.hover_shadow_top_right_ghostWhite3h:hover,
.active_shadow_top_right_ghostWhite3h:active:hover {
    -webkit-box-shadow: 0.5em -0.5em 1em rgba(94, 94, 255, .50);
    -moz-box-shadow: 0.5em -0.5em 1em rgba(94, 94, 255, .50);
    box-shadow: 0.5em -0.5em 1em rgba(94, 94, 255, .50);
}

.shadow_top_right_ghostWhite3a,
.hover_shadow_top_right_ghostWhite3a:hover,
.active_shadow_top_right_ghostWhite3a:active:hover {
    -webkit-box-shadow: 0.5em -0.5em 1em rgba(181, 181, 255, .63);
    -moz-box-shadow: 0.5em -0.5em 1em rgba(181, 181, 255, .63);
    box-shadow: 0.5em -0.5em 1em rgba(181, 181, 255, .63);
}

.shadow_top_right_ghostWhite3s,
.hover_shadow_top_right_ghostWhite3s:hover,
.active_shadow_top_right_ghostWhite3s:active:hover {
    -webkit-box-shadow: 0.5em -0.5em 1em rgba(181, 181, 255, .78);
    -moz-box-shadow: 0.5em -0.5em 1em rgba(181, 181, 255, .78);
    box-shadow: 0.5em -0.5em 1em rgba(181, 181, 255, .78);
}

/* -------------------------- shadow bottom_left settings --------------------------------*/
.shadow_bottom_left_ghostWhite3,
.hover_shadow_bottom_left_ghostWhite3:hover,
.active_shadow_bottom_left_ghostWhite3:active:hover {
    -webkit-box-shadow: -0.5em 0.5em 1em rgba(36, 36, 255, .39);
    -moz-box-shadow: -0.5em 0.5em 1em rgba(36, 36, 255, .39);
    box-shadow: -0.5em 0.5em 1em rgba(36, 36, 255, .39);
}

.shadow_bottom_left_ghostWhite3h,
.hover_shadow_bottom_left_ghostWhite3h:hover,
.active_shadow_bottom_left_ghostWhite3h:active:hover {
    -webkit-box-shadow: -0.5em 0.5em 1em rgba(94, 94, 255, .50);
    -moz-box-shadow: -0.5em 0.5em 1em rgba(94, 94, 255, .50);
    box-shadow: -0.5em 0.5em 1em rgba(94, 94, 255, .50);
}

.shadow_bottom_left_ghostWhite3a,
.hover_shadow_bottom_left_ghostWhite3a:hover,
.active_shadow_bottom_left_ghostWhite3a:active:hover {
    -webkit-box-shadow: -0.5em 0.5em 1em rgba(181, 181, 255, .63);
    -moz-box-shadow: -0.5em 0.5em 1em rgba(181, 181, 255, .63);
    box-shadow: -0.5em 0.5em 1em rgba(181, 181, 255, .63);
}

.shadow_bottom_left_ghostWhite3s,
.hover_shadow_bottom_left_ghostWhite3s:hover,
.active_shadow_bottom_left_ghostWhite3s:active:hover {
    -webkit-box-shadow: -0.5em 0.5em 1em rgba(181, 181, 255, .78);
    -moz-box-shadow: -0.5em 0.5em 1em rgba(181, 181, 255, .78);
    box-shadow: -0.5em 0.5em 1em rgba(181, 181, 255, .78);
}

/* -------------------------- shadow bottom_right settings --------------------------------*/
.shadow_bottom_right_ghostWhite3,
.hover_shadow_bottom_right_ghostWhite3:hover,
.active_shadow_bottom_right_ghostWhite3:active:hover {
    -webkit-box-shadow: 0.5em 0.5em 1em rgba(36, 36, 255, .39);
    -moz-box-shadow: 0.5em 0.5em 1em rgba(36, 36, 255, .39);
    box-shadow: 0.5em 0.5em 1em rgba(36, 36, 255, .39);
}

.shadow_bottom_right_ghostWhite3h,
.hover_shadow_bottom_right_ghostWhite3h:hover,
.active_shadow_bottom_right_ghostWhite3h:active:hover  {
    -webkit-box-shadow: 0.5em 0.5em 1em rgba(94, 94, 255, .50);
    -moz-box-shadow: 0.5em 0.5em 1em rgba(94, 94, 255, .50);
    box-shadow: 0.5em 0.5em 1em rgba(94, 94, 255, .50);
}

.shadow_bottom_right_ghostWhite3a,
 .hover_shadow_bottom_right_ghostWhite3a:hover,
 .active_shadow_bottom_right_ghostWhite3a:active:hover {
     -webkit-box-shadow: 0.5em 0.5em 1em rgba(181, 181, 255, .63);
     -moz-box-shadow: 0.5em 0.5em 1em rgba(181, 181, 255, .63);
     box-shadow: 0.5em 0.5em 1em rgba(181, 181, 255, .63);
 }

 .shadow_bottom_right_ghostWhite3s,
 .hover_shadow_bottom_right_ghostWhite3s:hover,
 .active_shadow_bottom_right_ghostWhite3s:active:hover {
     -webkit-box-shadow: 0.5em 0.5em 1em rgba(181, 181, 255, .78);
     -moz-box-shadow: 0.5em 0.5em 1em rgba(181, 181, 255, .78);
     box-shadow: 0.5em 0.5em 1em rgba(181, 181, 255, .78);
 }

extension: css


text:
# CUDA Module
find_package(CUDA QUIET)

if(CUDA_FOUND)
  # always set the includedir when cuda is available
  # avoid global retrigger of cmake
	include_directories(${CUDA_INCLUDE_DIRS})
endif(CUDA_FOUND)

if(USE_CUDA)
  find_package(CUDA REQUIRED)
  # Find CUDA doesn't find all the libraries we need, add the extra ones
  find_library(CUDA_CUDA_LIBRARIES cuda
    PATHS ${CUDA_TOOLKIT_ROOT_DIR}
    PATH_SUFFIXES lib lib64 targets/x86_64-linux/lib targets/x86_64-linux/lib/stubs)
  find_library(CUDA_NVRTC_LIBRARIES nvrtc
    PATHS ${CUDA_TOOLKIT_ROOT_DIR}
    PATH_SUFFIXES lib lib64 targets/x86_64-linux/lib targets/x86_64-linux/lib/stubs)
  if(CUDA_CUDA_LIBRARIES)
    set(CUDA_CUDA_LIBRARY ${CUDA_CUDA_LIBRARIES})
  endif()
  message(STATUS "Build with CUDA support")
  file(GLOB RUNTIME_CUDA_SRCS src/runtime/cuda/*.cc)
  list(APPEND TVM_RUNTIME_LINKER_LIBS ${CUDA_CUDART_LIBRARY})
  list(APPEND TVM_RUNTIME_LINKER_LIBS ${CUDA_CUDA_LIBRARY})
  list(APPEND RUNTIME_SRCS ${RUNTIME_CUDA_SRCS})
  list(APPEND COMPILER_SRCS src/codegen/opt/build_cuda_on.cc)

  if(MSVC)
    find_library(CUDA_NVRTC_LIB nvrtc
      ${CUDA_TOOLKIT_ROOT_DIR}/lib/x64
      ${CUDA_TOOLKIT_ROOT_DIR}/lib/win32)
    list(APPEND TVM_LINKER_LIBS ${CUDA_NVRTC_LIB})
  else(MSVC)
    find_library(CUDA_NVRTC_LIB nvrtc
      ${CUDA_TOOLKIT_ROOT_DIR}/lib64
      ${CUDA_TOOLKIT_ROOT_DIR}/lib)
    list(APPEND TVM_LINKER_LIBS ${CUDA_NVRTC_LIB})
  endif(MSVC)

  if(USE_CUDNN)
    message(STATUS "Build with cuDNN support")
    file(GLOB CONTRIB_CUDNN_SRCS src/contrib/cudnn/*.cc)
    list(APPEND RUNTIME_SRCS ${CONTRIB_CUDNN_SRCS})
    if(MSVC)
      find_library(CUDA_CUDNN_LIB cudnn
        ${CUDA_TOOLKIT_ROOT_DIR}/lib/x64
        ${CUDA_TOOLKIT_ROOT_DIR}/lib/win32)
      list(APPEND TVM_RUNTIME_LINKER_LIBS ${CUDA_CUDNN_LIB})
    else(MSVC)
      find_library(CUDA_CUDNN_LIB cudnn
        ${CUDA_TOOLKIT_ROOT_DIR}/lib64
        ${CUDA_TOOLKIT_ROOT_DIR}/lib)
      list(APPEND TVM_RUNTIME_LINKER_LIBS ${CUDA_CUDNN_LIB})
    endif(MSVC)
  endif(USE_CUDNN)

  if(USE_CUBLAS)
    message(STATUS "Build with cuBLAS support")
    file(GLOB CONTRIB_CUBLAS_SRCS src/contrib/cublas/*.cc)
    list(APPEND RUNTIME_SRCS ${CONTRIB_CUBLAS_SRCS})
    if(MSVC)
      find_library(CUDA_CUBLAS_LIB cublas
        ${CUDA_TOOLKIT_ROOT_DIR}/lib/x64
        ${CUDA_TOOLKIT_ROOT_DIR}/lib/win32)
      list(APPEND TVM_RUNTIME_LINKER_LIBS ${CUDA_CUBLAS_LIB})
    else(MSVC)
      find_library(CUDA_CUBLAS_LIB cublas
        ${CUDA_TOOLKIT_ROOT_DIR}/lib64
        ${CUDA_TOOLKIT_ROOT_DIR}/lib)
      list(APPEND TVM_RUNTIME_LINKER_LIBS ${CUDA_CUBLAS_LIB})
    endif(MSVC)
  endif(USE_CUBLAS)
else(USE_CUDA)
  list(APPEND COMPILER_SRCS src/codegen/opt/build_cuda_off.cc)
endif(USE_CUDA)

repository: barongeng/tvm

repo_name: barongeng/tvm

extension: cmake


text:
@article{kamvar_developing_2017,
        title = {Developing educational resources for population genetics in {R}: an open and collaborative approach},
        volume = {17},
        issn = {1755098X},
        shorttitle = {Developing educational resources for population genetics in {R}},
        url = {http://doi.wiley.com/10.1111/1755-0998.12558},
        doi = {10.1111/1755-0998.12558},
        language = {en},
        number = {1},
        urldate = {2020-06-12},
        journal = {Molecular Ecology Resources},
        author = {Kamvar, Zhian N. and López-Uribe, Margarita M. and Coughlan, Simone and Grünwald, Niklaus J. and Lapp, Hilmar and Manel, Stéphanie},
        month = jan,
        year = {2017},
        pages = {120--128}
}

repository: coughls/academic-kickstart

repo_name: coughls/academic-kickstart

gha_language: Shell


text:
/*!
 * Start Bootstrap - Modern Business (https://startbootstrap.com/template-overviews/modern-business)
 * Copyright 2013-2017 Start Bootstrap
 * Licensed under MIT (https://github.com/BlackrockDigital/startbootstrap-logomodern-business-nav/blob/master/LICENSE)
 */

body {
  padding-top: 54px;
  color: #555555;
  font-size: 16px;
}

a {
	color: #333333;
	-webkit-transition: .2s all ease-out;
    -moz-transition: .2s all ease-out;
    transition: .2s all ease-out;
}

a:hover {
	color: #b19c52;
}

.fa-star {
	color: #1e2454;
}

::-moz-selection { /* Code for Firefox */
    color: #fff;
    background: #b19c52;
}

::selection {
    color: #fff;
    background: #b19c52;
}

input:focus, textarea:focus {
	outline-color: #b19c52 !important;
}

ol.breadcrumb {
	font-size: 15px;
}

::-webkit-input-placeholder { /* Chrome/Opera/Safari */
  font-weight: 300 !important;

}
::-moz-placeholder { /* Firefox 19+ */
font-weight: 300 !important;

}
:-ms-input-placeholder { /* IE 10+ */
  font-weight: 300 !important;
}
:-moz-placeholder { /* Firefox 18- */
  font-weight: 300 !important;
}

p {
	font-weight:300;
}

.display-desktop {
	display: block;
}

.display-tablet {
	display: none;
}
.display-desktop-tablet {
	display: initial;
}

.display-mobile {

	display: none;
}

.display-desktop-service {
	display: block;
}

.display-desktop-home {
	display: initial !important;
}

.display-mobile-service {
	display: none;
}

.active-sidebar {
	background-color: #b19c52 !important;
}

.team-image1 {
	background: url(../images/brianl.jpg);
	max-height: 280px;
	max-width: 280px;
	height: 280px;
	background-repeat: no-repeat;
	background-position: center;
	background-size: cover;
}

.team-image2 {
	background: url(../images/jeremyw.jpg);
	max-height: 280px;
	max-width: 280px;
	height: 280px;
	background-repeat: no-repeat;
	background-position: center;
	background-size: cover;
}

.row.team {
	max-width: 1000px;
	margin: 0 auto;
	margin-bottom: 45px !important;
}

.row.team .col-lg-6 {
	width: 50%;
	padding-left: 45px;
	padding-right: 45px;
}

.small-stars {
	color: #555555 !important;
}

.location {
	  font-style: italic;
	  font-size: 14px;
	  color: #b19c52 !important;
}

.row.team .card-body {

}

.last-section {
	max-width: 1140px;
	padding-bottom: 30px;
	padding-top: 30px;
	margin: 30px;
}

.review-list-rating .review-list-rating-title{
	width: 9.25em;
	display: inline-block;
color: #555555 !important;
}
label {
	font-weight: 400 !important;
}

ul.review-list {
	list-style-type: none;
	text-align: left;
	padding-left: 0;
	margin: 0;
}
.review-list-rating {
	padding: 0;
	margin-bottom: 5px;
	text-align: left;
}

.carousel-item {
  height: 65vh;
  min-height: 300px;
  background: no-repeat center center scroll;
  -webkit-background-size: cover;
  -moz-background-size: cover;
  -o-background-size: cover;
  background-size: cover;
}

.portfolio-item {
  margin-bottom: 30px;
}

.review-list label {
	margin-bottom: 0 !important;
}

.review-list-rating {
	border-bottom: 1px solid #EBEBEB;
	padding-bottom: 10px;
	margin-bottom: 10px;
}

.carousel-control-next-icon, .carousel-control-prev-icon  {
  color: red;
  background-image: initial !important;
}

.mt-4.mb-3 {
	font-family: 'Open Sans', sans-serif;
	text-align:center;
	font-weight: 300;
	margin-bottom: 0 !important;
	padding-bottom: 0;
}

.heading-helper {
	font-family: 'Open Sans', sans-serif;
	font-weight: 300;

}

.servicesDivide {
	margin:20px auto 60px auto;
	width:50px;
	border-bottom:3px solid #b19c52;
}

.servicesDivide-less {
	margin:20px auto 40px auto;
	width:50px;
	border-bottom:3px solid #b19c52;
}

.servicesDivide-ortho {
	margin:20px auto 20px auto;
	width:50px;
	border-bottom:3px solid #b19c52;
}

.heading-image {
	height: 42vh;
	background-image: url(../images/pushup.jpeg);
	background-position: center;
	background-size: cover;
	margin-bottom: 1.5em;
	border-radius: 3px;
}

.heading-image.resources{
	height: 42vh;
	background-image: url(../images/mountains.jpeg);
	background-position: center 37%;
	background-size: cover;
	margin-bottom: 1.5em;
	border-radius: 3px;
}

#active-side-item {
	background-color: #b19c52;
	color: #fff;
}

#active-side-item:hover {
	color: #555555;
}

.breadcrumb.services, .breadcrumb.about {
	margin-top: 12vh !important;
}

.breadcrumb {
	margin-top: 2vh !important;
}

.parent-active-item a {
	color: #555555 !important;
}

.services-section .card-header {
	letter-spacing: 1px;
	text-align: center;
}

.phone-number {
	color: #b19c52;
}

.phone-number:hover {
	color: #87773F;
}

.web-address {
	color: #b19c52;
}

.web-address:hover {
	color: #87773F;
}

.services-section li {
	padding-bottom: 10px;
}

.services-section li.first-li > span {
	line-height: 2.5;
}

#info1, #info2, #info3, #info4, #info5, #info6, #info7, #info8, #info9, #info10, #info11, #info12, #info13, #info14, #info15, #info16, #info17 {display: none;}

#breadcrumb1, #breadcrumb2, #breadcrumb3, #breadcrumb4, #breadcrumb5, #breadcrumb6, #breadcrumb7, #breadcrumb8, #breadcrumb9, #breadcrumb10,#breadcrumb11, #breadcrumb12, #breadcrumb13, #breadcrumb14, #breadcrumb15, #breadcrumb16, #breadcrumb17 {
	display: none;
	color: #868e96;
}

.myClass {
    background-color: #b19c52 !important;
    color: #fff !important;
}

.dropdown-item:hover {
	background-color: #1e2454;
	color: #fff;
}

nav {
	border-bottom: 1px solid rgba(0,0,0,.125);
}

nav li a {
	font-family: 'Montserrat', sans-serif;
	text-transform: uppercase;
	color: #1e2454 !important;
	letter-spacing: 1px;
	font-size: 14px;
	-webkit-transition: .2s all ease-out;
    -moz-transition: .2s all ease-out;
    transition: .2s all ease-out;
}

nav li > a:hover {
	color: #b19c52 !important;
}

nav li div a:hover {
	color: #fff !important;
}

.fa.fa-bars {
	font-size: 30px;
	color: rgba(30,36,84,.9);
}

/*nav .container {
	width: 80vw;
	margin-left: 0;
	margin-right: 0;
}*/

.navbar .container {
	padding: 0;
}

.list-title {
	background-color:rgba(0,0,0,.03) !important;
	text-align: center;
	color: #333333 !important;
	border-bottom: 2px solid rgba(0,0,0,.3) !important;
}

.services-section .col-sm-6 {
	float: left;

}

.services-section .col-sm-6:first-of-type {
	padding-right: 25px;
}

.services-section .col-sm-6:nth-of-type(2) {
	padding-left: 25px;
}

.container .row {
	margin-bottom: 30px;
}

.btn-primary:hover {
	background-color: #b19c52 !important;
	border-color: #b19c52 !important;
	cursor: pointer;
}

.carousel-control-prev, .carousel-control-next {
	cursor: default;
}

@media (max-width: 1024px) {

	.col-md-12 {
		width: 100% !important;
	}

	iframe {
		height: 400px !important;
		max-height: 400px !important;
	}

	.breadcrumb.services, .breadcrumb.about {
		margin-top: 5vh !important;
	}
}

@media (min-width: 992px) {
	  body {
    padding-top: 56px;
  }
	#mainNav{
		-webkit-transition:padding-top .3s,padding-bottom .3s;
		-moz-transition:padding-top .3s,padding-bottom .3s;
		transition:padding-top .3s,padding-bottom .3s;
		background-color:transparent
	}

	#mainNav .navbar-brand img {
		width: 100%;
		-webkit-transition:all .3s;
		-moz-transition:all .3s;
		transition:all .3s
	}

	#mainNav.navbar-shrink{
		padding-top:0;
		padding-bottom:0;
		background-color:#fff
	}
	#mainNav.navbar-shrink .navbar-brand img {
		width:55%;

	}
}

@media (max-width: 900px) {

	.dropdown-menu {
		box-shadow: none;
	}

	.navbar-brand img {
		width: 100%;
	}

	.navbar .container {
		margin: 0 auto;
	}

	.navbar .container button {
		margin-right: 20px;
	}

	.services-section .col-sm-6 {
	padding-left: 15px;
	padding-right: 15px;
	}

	#mainNav{

		-webkit-transition:padding-top .3s,padding-bottom .3s;
		-moz-transition:padding-top .3s,padding-bottom .3s;
		transition:padding-top .3s,padding-bottom .3s;
		background-color:transparent
	}

	#mainNav .navbar-brand img {
		width: 100%;
		-webkit-transition:all .3s;
		-moz-transition:all .3s;
		transition:all .3s
	}

	#mainNav.navbar-shrink{
		padding-top:0;
		padding-bottom:0;
		background-color:#fff
	}
	#mainNav.navbar-shrink .navbar-brand img {
		width: 60%;
		margin-left: 30px;
		padding-top: 5px;
		padding-bottom: 5px;
	}
	#mainNav.navbar-shrink .navbar-toggler {
		margin-bottom: 0px !important;
	}

	.breadcrumb {
		margin: 0 auto;
		margin-top: 20vh;
		font-size: 14px;
		padding-right: 0;

	}

	.breadcrumb.services, .breadcrumb.about {
		margin-top: 8vh !important;
	}

	#mainNav.navbar-shrink .fa.fa-bars {
		font-size: 20px !important;
	}

}

@media (max-width: 420px) {

	.display-desktop {
	display: none;
	}
	.display-tablet {
		display: none;
	}

	.display-mobile {
	display: block;
	}

	.display-desktop-tablet {
		display: none !important;
	}

	.display-desktop-service {
		display: none;
	}

	.display-desktop-home {
	display: none !important;
}

	.display-mobile-service {
		display: block;
	}

	.display-mobile-service .row {
		max-width: 95vw;
		margin: 0 auto;
	}

	.display-mobile-service .row div.middle-helper {
		width:100%;
		margin: 0 auto;
	}

	.breadcrumb.services, .breadcrumb.about {
		margin-top: 16vh !important;
	}

	#mainNav.navbar-shrink .navbar-brand img {
		width: 60%;
		margin-left: 64px;
		padding-top: 5px;
	}

	.heading-image {
		background-position: left center;
	}

	h1 {
	font-size: 2rem !important;
	}

	.servicesDivide {
		margin: 20px auto 30px auto;
	}

	#mainNav.navbar-shrink .navbar-toggler {
		margin-bottom: 12px !important;
	}

	.navbar .container button {
		margin: 0 auto;
		margin-bottom: 8px;
	}

	.small-stars {
		display: block;
	}

	.review-list-rating-title {
		padding-bottom: 10px;
		font-weight: 600 !important;
	}
	.location {
		margin-left: 0 !important;
	color: #b19c52 !important;
		font-size: 14px;
	}

	.mobile-span-helper {
		margin-left: 0 !important;
	}

	.container.about .row {
		margin-left: 0;
		margin-right: 0;
	}

	.container.employees {
		padding-left: 0;
		padding-right: 0;
	}

	.team-image img {

		margin: 0 auto !important;
		width: 100%;
	}

	.team .card-title {
		display: block;
	}

	.heading-helper {
		text-align: center;
	}

	.row.team {
		margin-bottom: 30px !important;
	}

	.breadcrumb {
		display: none;
	}
	.row.row-accordion {
		width: 95vw;
	}

	.row.row-accordion ul {
		padding-left: 15px;
	}
	.row.row-accordion #accordion .card{
		border-radius:0;
	}

	.row.row-accordion #accordion .card:last-of-type {
		border-radius: 0 0 0.25rem 0.25rem;
	}

	.row.row-accordion #accordion .card-header {
		background-color: #fff;
		border-radius: 0;
	}

	.row.row-accordion #accordion .card-header a {
		font-size: 16px;
		font-weight: 400 !important;
	}

	.row.row-accordion #accordion .card-header {
		border-bottom: 0;
	}
	.helper-space-top {
		margin-top: 20vh;
	}

	.mobile-heading-helper {
		text-align: left !important;
	}

	.heading-image.resources, .heading-image.resources2 {
		width: 90%;
		margin: 0 auto;
	}

	.servicesDivide-less {
		margin:20px auto 20px auto
		}

}

@media (max-width: 320px) {
	.breadcrumb.services, .breadcrumb.about {
		margin-top: 14vh !important;
	}
	#mainNav.navbar-shrink .navbar-brand img {
		margin-left: 55px;
	}
}

.dropdown .nav-link:hover .dropdown-menu.dropdown-menu-right {
	display:block !important;
}

li.nav-item:hover .nav-link {
	color: #b19c52 !important;
}

#last-link {
	padding-right: 0 !important;
}

.this-page {
	color: #b19c52 !important;
}

.this-page:hover {
	color: #87773F !important;
}

footer {
	text-align: center;
	color: #fff !important;
	background-color: #1e2454 !important;
}

footer a {
	color: #fff !important;
}

footer a:hover {
	color: #b19c52 !important;
	text-decoration: none;
}

.title-cfb {
	color: #fff;
	text-transform: uppercase;
    font-family: 'Open Sans', sans-serif;
	font-size: 16px;
	letter-spacing: 1px;
}
.servicesDivide-footer {
	margin:20px auto 30px auto;
	width:50px;
	border-bottom:1px solid #b19c52;
}
.andFont {
	font-family: 'Goudy Bookletter 1911', serif;
	color:#b19c52;
	font-size: 18px;
}

.andFont-title {
	font-family: 'Goudy Bookletter 1911', serif;
	color:#b19c52;
	font-size: 28px;
}

footer .row {
	max-width: 150px;
	margin: 0 auto;
}

footer .col-xs-4 {
	width: 33.333333%;
}

footer .py-5 {
	padding-bottom: 1rem !important;
}


text:
@inproceedings{Hjalmarsson:93aa,
 address = {Sydney, Australia},
 author = {H. Hjalmarsson},
 booktitle = {Preprint 12th IFAC World Congress},
 pages = {5-10},
 title = {A Model Variance Estimator},
 volume = {IX},
 year = {1993}
}

repository: hhjalmars/academic-kickstart

repo_name: hhjalmars/academic-kickstart


text:
@InProceedings{silver12a,
  pdf = {http://jmlr.org/proceedings/papers/v27/silver12a.pdf},
  section = {intro},
  title = {ICML2011 Unsupervised and Transfer Learning Workshop},
  author = {D.L. Silver and I. Guyon and G. Taylor and G. Dror V. Lemaire},
  pages = {1--15},
  abstract = {We organized a data mining challenge in ``unsupervised and transfer learning'' (the UTL challenge) followed by a workshop of the same name at the ICML 2011 conference in Bellevue, Washington. This introduction presents the highlights of the outstanding contributions that were made, which are regrouped in this issue of JMLR W&CP. Novel methodologies emerged to capitalize on large volumes of unlabeled data from tasks related (but different) from a target task, including a method to learn data kernels (similarity measures) and new deep architectures for feature learning.},
}

repository: mreid/papersite

repo_name: mreid/papersite


text:
require osb-nrcore.inc

SRCREV = "126"
PV = "0.5.2+svnr${SRCPV}"
PR = "r3"

SRC_URI = "svn://gtk-webcore.svn.sourceforge.net/svnroot/gtk-webcore/trunk;module=NRCore;proto=https \
           file://gcc4-fno-threadsafe-statics-NRCore.patch \
	   file://build_silence.patch;maxdate=20070401 \
	   file://path_fixes.patch"

S = "${WORKDIR}/NRCore"

do_stage () {
        oe_libinstall -so libgtk_webcore_nrcore ${STAGING_LIBDIR}
        oe_libinstall -so -C kwiq libgtk_webcore_nrcore_kwiq_gtk ${STAGING_LIBDIR}

        autotools_stage_includes

        install -d ${STAGING_INCDIR}/osb/NRCore
        for i in ${S}/kwiq/WebCore*.h ${S}/kwiq/KWIQ*.h; do
                install -m 0644 $i ${STAGING_INCDIR}/osb/NRCore
        done
}


text:
@article{degreefreeman,
  title={Centrality in social networks conceptual clarification},
  author={Freeman, Linton C},
  journal={Social networks},
  volume={1},
  number={3},
  pages={215--239},
  year={1978},
  publisher={North-Holland}
}

@article{mcmorigin,
title = "The tropospheric degradation of volatile organic compounds: a protocol for mechanism development",
journal = "Atmospheric Environment",
volume = "31",
number = "1",
pages = "81 - 104",
year = "1997",
issn = "1352-2310",
doi = "https://doi.org/10.1016/S1352-2310(96)00105-7",
url = "http://www.sciencedirect.com/science/article/pii/S1352231096001057",
author = "Michael E. Jenkin and Sandra M. Saunders and Michael J. Pilling",
}

@Article{tf83,
author="Beel, Joeran
and Gipp, Bela
and Langer, Stefan
and Breitinger, Corinna",
title="Research-paper recommender systems: a literature survey",
journal="International Journal on Digital Libraries",
year="2016",
month="Nov",
day="01",
volume="17",
number="4",
pages="305--338",
issn="1432-1300",
doi="10.1007/s00799-015-0156-0",
url="https://doi.org/10.1007/s00799-015-0156-0"
}

@ARTICLE{idfpic,
 title="IDF response functions.",
 journal="wikipedia commons",
  url = "https://upload.wikimedia.org/wikipedia/commons/0/05/Plot_IDF_functions.png",
  author="Mquantin",
  year= 2020,
  note         = "Accessed: 2020-2-5"
}

@MISC{frankenstein,
  title        = "{Using TF-IDF to form descriptive chapter summaries via
                  keyword extraction}",
  booktitle    = "{Medium}",
  author       = "Ellis, Daniel",
  publisher    = "Towards Data Science",
  year         =  2019,
  url          = "https://towardsdatascience.com/using-tf-idf-to-form-descriptive-chapter-summaries-via-keyword-extraction-4e6fd857d190",
  howpublished = "\url{https://towardsdatascience.com/using-tf-idf-to-form-descriptive-chapter-summaries-via-keyword-extraction-4e6fd857d190}",
  note         = "Accessed: 2020-2-5"
}

@MISC{degreetwitter,
  author="Gemma, Joyce",
  title        = "{The Most Influential Men and Women on Twitter 2017}",
  booktitle    = "{Brandwatch}",
  url          = "https://www.brandwatch.com/blog/react-influential-men-and-women-2017/",
  howpublished = "\url{https://www.brandwatch.com/blog/react-influential-men-and-women-2017/}",
  note         = "Accessed: 2019-4-28",
  year = 2019
}

@Article{pitts,
author="McCulloch, Warren S.
and Pitts, Walter",
title="A logical calculus of the ideas immanent in nervous activity",
journal="The bulletin of mathematical biophysics",
year="1943",
month="Dec",
day="01",
volume="5",
number="4",
pages="115--133",
issn="1522-9602",
doi="10.1007/BF02478259",
url="https://doi.org/10.1007/BF02478259"
}

@ARTICLE{perceptron,
    author = {F. Rosenblatt},
    title = {The Perceptron: A Probabilistic Model for Information Storage and Organization in The Brain},
    journal = {Psychological Review},
    year = {1958},
    pages = {65--386}
}
@Article{lif2,
AUTHOR = {Bloss, W. J. and Lee, J. D. and Bloss, C. and Heard, D. E. and Pilling, M. J. and Wirtz, K. and Martin-Reviejo, M. and Siese, M.},
TITLE = {Validation of the calibration of a laser-induced fluorescence instrument for the measurement of OH radicals in the atmosphere},
JOURNAL = {Atmospheric Chemistry and Physics},
VOLUME = {4},
YEAR = {2004},
NUMBER = {2},
PAGES = {571--583},
URL = {https://www.atmos-chem-phys.net/4/571/2004/},
DOI = {10.5194/acp-4-571-2004}
}
@Article{lif1,
author ="Dillon, Terry J. and Tucceri, María E. and Crowley, John N.",
title  ="Laser induced fluorescence studies of iodine oxide chemistry Part II. The reactions of IO with CH3O2{,} CF3O2 and O3",
journal  ="Phys. Chem. Chem. Phys.",
year  ="2006",
volume  ="8",
issue  ="44",
pages  ="5185-5198",
publisher  ="The Royal Society of Chemistry",
doi  ="10.1039/B611116E",
url  ="http://dx.doi.org/10.1039/B611116E"}

@ARTICLE{layercortex,
 author="Santiago Ramon Cajal",
 year=2020,
 journal="web",
 title="Cortex Drawings",
  url = "https://upload.wikimedia.org/wikipedia/commons/5/5b/Cajal_cortex_drawings.png",
  howpublished = "\url{https://upload.wikimedia.org/wikipedia/commons/5/5b/Cajal_cortex_drawings.png}",
  note         = "Accessed: 2020-2-4"
}

@ARTICLE{perceptronmanual,
  title  = "{MARK 1 PERCEPTRON OPERATORS' MANUAL}",
  author = "John Hay, Ben Lynch, David Smith",
  journal = "Cornell Aeronautical Laboratory",
  year=1960,
  url    = "https://apps.dtic.mil/dtic/tr/fulltext/u2/236965.pdf"
}

@book{handsonml,
  title={Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems},
  author={G{\'e}ron, A.},
  isbn={9781491962268},
  url={https://books.google.co.uk/books?id=khpYDgAAQBAJ},
  year={2017},
  publisher={O'Reilly Media}
}

@MISC{perceptronimage,
  title        = "{Mark 1 Perceptron}",
  year         =  2020,
  author = "Lab Cornell",
  url          = "https://en.wikipedia.org/w/index.php?title=Perceptron&oldid=935763442",
  howpublished = "\url{https://en.wikipedia.org/w/index.php?title=Perceptron&oldid=935763442}",
  note         = "Accessed: 2020-2-4"
}

@InProceedings{degreeauction,
author="Bangcharoensap, Phiradet
and Kobayashi, Hayato
and Shimizu, Nobuyuki
and Yamauchi, Satoshi
and Murata, Tsuyoshi",
editor="Bifet, Albert
and May, Michael
and Zadrozny, Bianca
and Gavalda, Ricard
and Pedreschi, Dino
and Bonchi, Francesco
and Cardoso, Jaime
and Spiliopoulou, Myra",
title="Two Step graph-based semi-supervised Learning for Online Auction Fraud Detection",
booktitle="Machine Learning and Knowledge Discovery in Databases",
year="2015",
publisher="Springer International Publishing",
address="Cham",
pages="165--179",
isbn="978-3-319-23461-8"
}
@book{connectivity,
author="Tur{\'a}nyi, Tam{\'a}s
and Tomlin, Alison S.",
title="Reduction of Reaction Mechanisms",
bookTitle="Analysis of Kinetic Reaction Mechanisms",
year=2014,
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="183--312",
doi="10.1007/978-3-662-44562-4_7",
url="https://doi.org/10.1007/978-3-662-44562-4_7"
}

@book{jacob,
  title={Modeling of Atmospheric Chemistry},
  author={Brasseur, G.P. and Jacob, D.J.},
  isbn={9781108210959},
  url={https://books.google.co.uk/books?id=k9\_PDgAAQBAJ},
  year=2017,
  publisher={Cambridge University Press}
}

@ARTICLE{hits,
  title     = "{Authoritative Sources in a Hyperlinked Environment}",
  author    = "Kleinberg, Jon M",
  journal   = "Journal of the ACM",
  publisher = "ACM",
  volume    =  46,
  number    =  5,
  pages     = "604--632",
  month     =  sep,
  year      =  1999,
  url       = "http://doi.acm.org/10.1145/324133.324140",
  address   = "New York, NY, USA",
  issn      = "0004-5411",
  doi       = "10.1145/324133.324140"
}

@ARTICLE{hitsvspagerank,
  title     = "{A Survey of Eigenvector Methods for Web Information Retrieval}",
  author    = "Langville, A and Meyer, C",
  journal   = "SIAM Review",
  publisher = "Society for Industrial and Applied Mathematics",
  volume    =  47,
  number    =  1,
  pages     = "135--161",
  month     =  jan,
  year      =  2005,
  url       = "https://doi.org/10.1137/S0036144503424786",
  annote    = "doi: 10.1137/S0036144503424786",
  issn      = "0036-1445",
  doi       = "10.1137/S0036144503424786"
}

@ARTICLE{hitsweb,
  title  = "{The Web as a graph}",
  author = "Kumar, Ravi and Upfal, Eli",
  year = 2000,
  url    = "http://cs.brown.edu/research/webagent/pods-2000.pdf"
}

@ARTICLE{phrase,
  title  = "{A Comparison of Centrality Measures for Graph-Based Keyphrase
            Extraction}",
  author = "Boudin, Florian",
  url    = "https://hal.archives-ouvertes.fr/hal-00850187/document",
  year = 2013
}

@ARTICLE{terror,
  title   = "{Mapping networks of terrorist cells}",
  author  = "Krebs, Valdis E",
  journal = "Connections",
  volume  =  24,
  number  =  3,
  pages   = "43--52",
  year    =  2002,
  url     = "http://ecsocman.hse.ru/data/517/132/1231/mappingterroristnetworks.pdf",
  issn    = "0226-1766"
}

@ARTICLE{closeness-book,
  title = "{Social Network Analysis: Theory and Applications}",
  url   = "https://www.politaktiv.org/documents/10157/29141/SocNet_TheoryApp.pdf",
  year=2011,
  author="Poliaktiv"
}

@ARTICLE{dev-social-analysis,
  title  = "{The Development of Social Network Analysis---with an Emphasis on
            Recent Events}",
  author = "Freeman, Linton C",
  year = 2020,
  note="Accessed: 2020-2-5",
  url    = "http://moreno.ss.uci.edu/91.pdf"
}

@article{betweenness,
author = {Freeman, Linton and Borgatti, Stephen and White, Douglas},
year = {1991},
month = {06},
pages = {141-154},
title = {Centrality in Valued Graphs: A Measure of Betweenness Based on Network Flow},
volume = {13},
journal = {Social Networks},
doi = {10.1016/0378-8733(91)90017-N}
}

@ARTICLE{spectral,
  title     = "{Spectral ranking}",
  author    = "Vigna, Sebastiano",
  journal   = "Network Science",
  publisher = "Cambridge University Press",
  volume    =  4,
  number    =  4,
  pages     = "433--445",
  month     =  dec,
  year      =  2016,
  url       = "https://www.cambridge.org/core/journals/network-science/article/spectral-ranking/99ACDCD0CC1B774AB0041FB16AB43D1B",
  keywords  = "ranking; centrality; eigenvectors",
  issn      = "2050-1242, 2050-1250",
  doi       = "10.1017/nws.2016.21"
}

@article{between,
author = {Freeman, Linton},
year = {1977},
month = {03},
pages = {35-41},
title = {A Set of Measures of Centrality Based on Betweenness},
volume = {40},
booktitle = {Sociometry}
}

@article {scalefreepapers,
	author = {de Solla Price, Derek J.},
	title = {Networks of Scientific Papers},
	volume = {149},
	number = {3683},
	pages = {510--515},
	year = {1965},
	doi = {10.1126/science.149.3683.510},
	publisher = {American Association for the Advancement of Science},
	issn = {0036-8075},
	URL = {https://science.sciencemag.org/content/149/3683/510},
	eprint = {https://science.sciencemag.org/content/149/3683/510.full.pdf},
	journal = {Science}
}

@ARTICLE{betweenfast,
    author = {Ulrik Brandes},
    title = {A Faster Algorithm for Betweenness Centrality},
    journal = {Journal of Mathematical Sociology},
    year = {2001},
    volume = {25},
    pages = {163--177}
}

% unused but really good.
@ARTICLE{examples_centrality,
  title    = "{Centrality and network flow}",
  author   = "Borgatti, Stephen P",
  journal  = "Social networks",
  volume   =  27,
  number   =  1,
  pages    = "55--71",
  month    =  jan,
  year     =  2005,
  url      = "http://www.sciencedirect.com/science/article/pii/S0378873304000693",
  keywords = "Centrality; Network flow; Typology",
  issn     = "0378-8733",
  doi      = "10.1016/j.socnet.2004.11.008"
}

@book{ks,
author = {Press, William H. and Teukolsky, Saul A. and Vetterling, William T. and Flannery, Brian P.},
title = {Numerical Recipes in C (2nd Ed.): The Art of Scientific Computing},
year = {1992},
isbn = {0521431085},
publisher = {Cambridge University Press},
address = {USA}
}

@ARTICLE{plexp,
  title     = "{Power-Law Distributions in Empirical Data}",
  author    = "Clauset, Aaron and Shalizi, Cosma Rohilla and Newman, M E J",
  journal   = "SIAM Review",
  publisher = "Society for Industrial and Applied Mathematics",
  volume    =  51,
  number    =  4,
  pages     = "661--703",
  month     =  nov,
  year      =  2009,
  url       = "https://doi.org/10.1137/070710111",
  annote    = "doi: 10.1137/070710111",
  issn      = "0036-1445",
  doi       = "10.1137/070710111"
}

@ARTICLE{scalefreebad,
  title    = "{Scale-free networks are rare}",
  author   = "Broido, Anna D and Clauset, Aaron",
  journal  = "Nature communications",
  volume   =  10,
  number   =  1,
  pages    = "1017",
  month    =  mar,
  year     =  2019,
  url      = "http://dx.doi.org/10.1038/s41467-019-08746-5",
  language = "en",
  issn     = "2041-1723",
  pmid     = "30833554",
  doi      = "10.1038/s41467-019-08746-5",
  pmc      = "PMC6399239"
}

@ARTICLE{neoj4,
  title  = "{Practical Examples in Apache Spark \& Neo4j}",
  author = "Needham, Mark and Hodler, Amy E",
  url    = "https://neo4j.com/neoassets/graphbooks/Graph_Algorithms_Neo4j.pdf",
  journal="O'Reilly",
  year=2019,
  isbn="978-1-492-05781-9."
}

@article{scalefreeemail,
  title = {Scale-free topology of e-mail networks},
  author = {Ebel, Holger and Mielsch, Lutz-Ingo and Bornholdt, Stefan},
  journal = {Phys. Rev. E},
  volume = {66},
  issue = {3},
  pages = {035103},
  numpages = {4},
  year = {2002},
  month = {Sep},
  publisher = {American Physical Society},
  doi = {10.1103/PhysRevE.66.035103},
  url = {https://link.aps.org/doi/10.1103/PhysRevE.66.035103}
}

@article{eigen2,
title = "Some unique properties of eigenvector centrality",
journal = "Social Networks",
volume = "29",
number = "4",
pages = "555 - 564",
year = "2007",
issn = "0378-8733",
doi = "https://doi.org/10.1016/j.socnet.2007.04.002",
url = "http://www.sciencedirect.com/science/article/pii/S0378873307000342",
author = "Phillip Bonacich",
keywords = "Centrality, Eigenvector"
}

@ARTICLE{katz,
  title    = "{Universal behavior of load distribution in scale-free networks}",
  author   = "Goh, K I and Kahng, B and Kim, D",
  journal  = "Physical review letters",
  volume   =  87,
  number   = "27 Pt 1",
  pages    = "278701",
  month    =  dec,
  year     =  2001,
  url      = "http://dx.doi.org/10.1103/PhysRevLett.87.278701",
  language = "en",
  issn     = "0031-9007",
  pmid     = "11800921",
  doi      = "10.1103/PhysRevLett.87.278701"
}

@ARTICLE{biopr,
  title         = "{Strategic heuristics underlie animal dominance hierarchies
                   and provide evidence of group-level social knowledge}",
  author        = "Hobson, Elizabeth A and M{\o}nster, Dan and DeDeo, Simon",
  month         =  oct,
  year          =  2018,
  url           = "http://arxiv.org/abs/1810.07215",
  archivePrefix = "arXiv",
  eprint        = "1810.07215",
  primaryClass  = "q-bio.PE",
  arxivid       = "1810.07215"
}

repository: wolfiex/DanEllisThesis

repo_name: wolfiex/DanEllisThesis

branch_name: refs/heads/corrections


text:
DESCRIPTION = "Xoo is a GTK2 based graphical wrapper around a windowed X Server. \
It is intended for embedded developers that want to simulate a target device \
(with an accurate display size, working hardware buttons, etc) on a desktop machine."
HOMEPAGE = "http://projects.o-hand.com/xoo"
LICENSE = "GPL"
DEPENDS = "virtual/libx11 libxtst gtk+ libglade expat"
SRCREV = "1971"
PV = "0.7+svnr${SRCPV}"
PR = "r1"

SRC_URI = "svn://svn.o-hand.com/repos/matchbox/trunk;module=Xoo;proto=http \
           file://*.png \
           file://*.xml"
S = "${WORKDIR}/Xoo"

inherit autotools

do_install_append() {
	for i in ${WORKDIR}/*.png ${WORKDIR}/*.xml; do
		install -m 0644 $i ${D}${datadir}/${PN}/
	done
}


text:
.img-foto-contactos {
	width: 100px;
	border-radius: 40px;
    width: 40px;
    height: 40px;
    object-fit: cover;
    margin: 1px;
}

.contato-hover:hover {
	background-color: #e8e8e8;
	cursor: pointer;

}

/*.contato-hover-color:hover {
	background-color: #e8e8e8;
}

.contato-hover-cursor:hover {
	cursor: pointer;

}*/


text:
require gtk-sharp.inc

inherit pkgconfig

DEPENDS += " gtk+3 atk pango cairo glib-2.0 libglade mono"
RDEPENDS:${PN} += " perl gtk+3"

LIC_FILES_CHKSUM = "file://COPYING;md5=8754deb904d22254188cb67189b87f19"

SRCREV = "9a72bb67fff7e4845b7bb430a608282668c3e4da"
SRC_URI = "git://github.com/mono/gtk-sharp.git;branch=master \
           file://0001-fixup-gmcs-to-mcs.patch"

S = "${WORKDIR}/git"

do_configure:prepend() {
  export PROFILER_CFLAGS="-D_REENTRANT -I${STAGING_DIR_TARGET}/usr/include/glib-2.0 -I${STAGING_DIR_TARGET}/usr/lib/glib-2.0 -I${STAGING_DIR_TARGET}/usr/lib/glib-2.0/include -I${STAGING_DIR_TARGET}/usr/include/mono-2.0"
}

do_install:append() {
  rm -f ${D}${libdir}/libmono-profiler-gui-thread-check.so
}

FILES:${PN} += "\
  ${libdir}/gapi-3.0/* \
"

repository: DynamicDevices/meta-mono

repo_name: DynamicDevices/meta-mono

gha_language: BitBake