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references.bib
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@inproceedings{casser2019depth,
title={Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos},
author={Casser, Vincent and Pirk, Soeren and Mahjourian, Reza and Angelova, Anelia},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={33},
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year={2019}
}
@article{cass2019taking,
title={Taking AI to the edge: Google's TPU now comes in a maker-friendly package},
author={Cass, Stephen},
journal={IEEE Spectrum},
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year={2019},
publisher={IEEE}
}
@inproceedings{caruana2006empirical,
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}
@article{zhu2009introduction,
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journal={Synthesis lectures on artificial intelligence and machine learning},
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}
@book{alpaydin2020introduction,
title={Introduction to machine learning},
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@article{schalkoff2007pattern,
title={Pattern recognition},
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@inproceedings{albawi2017understanding,
title={Understanding of a convolutional neural network},
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booktitle={2017 International Conference on Engineering and Technology (ICET)},
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}
@article{o2005optical,
title={Optical flow: Techniques and applications},
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journal={International Journal of Computer Vision},
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}
@article{beauchemin1995computation,
title={The computation of optical flow},
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@article{barron2005tutorial,
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@inproceedings{saravanan2010color,
title={Color image to grayscale image conversion},
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booktitle={2010 Second International Conference on Computer Engineering and Applications},
volume={2},
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year={2010},
organization={IEEE}
}
@inproceedings{xu2017canny,
title={Canny edge detection based on Open CV},
author={Xu, Zhao and Baojie, Xu and Guoxin, Wu},
booktitle={2017 13th IEEE international conference on electronic measurement \& instruments (ICEMI)},
pages={53--56},
year={2017},
organization={IEEE}
}
@techreport{edwards1984introduction,
title={An introduction to linear regression and correlation},
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year={1984}
}
@book{montgomery2021introduction,
title={Introduction to linear regression analysis},
author={Montgomery, Douglas C and Peck, Elizabeth A and Vining, G Geoffrey},
year={2021},
publisher={John Wiley \& Sons}
}
@inproceedings{bergstra2011algorithms,
title={Algorithms for hyper-parameter optimization},
author={Bergstra, James and Bardenet, R{\'e}mi and Bengio, Yoshua and K{\'e}gl, Bal{\'a}zs},
booktitle={25th annual conference on neural information processing systems (NIPS 2011)},
volume={24},
year={2011},
organization={Neural Information Processing Systems Foundation}
}
@incollection{feurer2019hyperparameter,
title={Hyperparameter optimization},
author={Feurer, Matthias and Hutter, Frank},
booktitle={Automated Machine Learning},
pages={3--33},
year={2019},
publisher={Springer, Cham}
}
@inproceedings{mikolajczyk2018data,
title={Data augmentation for improving deep learning in image classification problem},
author={Miko{\l}ajczyk, Agnieszka and Grochowski, Micha{\l}},
booktitle={2018 international interdisciplinary PhD workshop (IIPhDW)},
pages={117--122},
year={2018},
organization={IEEE}
}
@article{srivastava2014dropout,
title={Dropout: a simple way to prevent neural networks from overfitting},
author={Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
journal={The journal of machine learning research},
volume={15},
number={1},
pages={1929--1958},
year={2014},
publisher={JMLR. org}
}
@article{ciliberto2016consistent,
title={A consistent regularization approach for structured prediction},
author={Ciliberto, Carlo and Rosasco, Lorenzo and Rudi, Alessandro},
journal={Advances in neural information processing systems},
volume={29},
pages={4412--4420},
year={2016}
}
@article{hawkins2004problem,
title={The problem of overfitting},
author={Hawkins, Douglas M},
journal={Journal of chemical information and computer sciences},
volume={44},
number={1},
pages={1--12},
year={2004},
publisher={ACS Publications}
}
@article{takahashi2019data,
title={Data augmentation using random image cropping and patching for deep cnns},
author={Takahashi, Ryo and Matsubara, Takashi and Uehara, Kuniaki},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
volume={30},
number={9},
pages={2917--2931},
year={2019},
publisher={IEEE}
}
@article{souhila2007optical,
title={Optical flow based robot obstacle avoidance},
author={Souhila, Kahlouche and Karim, Achour},
journal={International Journal of Advanced Robotic Systems},
volume={4},
number={1},
pages={2},
year={2007},
publisher={SAGE Publications Sage UK: London, England}
}
@incollection{fleet2006optical,
title={Optical flow estimation},
author={Fleet, David and Weiss, Yair},
booktitle={Handbook of mathematical models in computer vision},
pages={237--257},
year={2006},
publisher={Springer}
}
@inproceedings{viswanathan2009features,
title={Features from accelerated segment test (fast)},
author={Viswanathan, Deepak Geetha},
booktitle={Proceedings of the 10th workshop on Image Analysis for Multimedia Interactive Services, London, UK},
pages={6--8},
year={2009}
}
@inproceedings{lucas1981iterative,
title={An iterative image registration technique with an application to stereo vision},
author={Lucas, Bruce D and Kanade, Takeo and others},
year={1981},
organization={Vancouver, British Columbia}
}
@article{levenberg1944method,
title={A method for the solution of certain non-linear problems in least squares},
author={Levenberg, Kenneth},
journal={Quarterly of applied mathematics},
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@article{gander1980algorithms,
title={Algorithms for the QR decomposition},
author={Gander, Walter},
journal={Res. Rep},
volume={80},
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}