"Video Super-Resolution by Adaptive Kernel Regression"

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Book	Author(s)	Year	Publisher
Super Resolution of Images and Video	Aggelos K. Katsaggelos; Rafael Molina; Javier Mateos		Springer International Publishing
Super resolution of images and video	Aggelos Konstantinos Katsaggelos	2007	Morgan & Claypool Publishers
Adaptive Regression	Yadolah Dodge; Jana Jureckova	2000	Springer New York
Kernel Adaptive Filtering: A Comprehensive Introduction	Weifeng Liu	2010	John Wiley & Sons
Kernel adaptive filtering: A comprehensive introduction	Principe J., Liu W., Haykin S.	2010	Wiley
Super-Resolution Imaging	Subhasis Chaudhuri	2001	Springer US
Super-Resolution Imaging	Peyman Milanfar	2011	Routledge
Adaptive Regression for Modeling Nonlinear Relationships	George J. Knafl; Kai Ding	1st ed. 2016	Springer International Publishing
Vidéo et super 8	Serge Shanks	1979	Éditions de l'Homme;[Diffusion] Inter-forum
Motion-Free Super-Resolution	Subhasis Chaudhuri; Joshi Manjunath	2005	Springer US
Example-Based Super Resolution	Jordi Salvador	2017	Academic Press
Expert trading systems: modeling financial markets with kernel regression /	Wolberg, John R.	2000.	Wiley,
Image Mosaicing and Super-resolution	David Capel	2004	Springer London
Label-Free Super-Resolution Microscopy	Vasily Astratov	1st ed. 2019	Springer International Publishing
Image Super-Resolution and Applications	Fathi E. Abd El-Samie; Mohiy M. Hadhoud; Said E. El-Khamy	2013	Routledge
Plasmonics and Super-Resolution Imaging	Zhaowei Liu	2017	Routledge
Super-Resolution Imaging in Biomedicine	Alberto Diaspro; Marc A. M. J. van Zandvoort	2016	Routledge
Implementing a low-complexity, adaptive, layered video coder for video teleconferencing	Steven J. Skretkowicz	1999	Naval Postgraduate School;Available from National Technical Information Service
Resolution: A Critique of Video Art	Patti Podesta	May 1, 1986	Angeles Contemporary Exhibitions
Super-Resolution Microscopy: Methods and Protocols	Holger Erfle	1st ed. 2017	Springer New York
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Video Super-Resolution by Adaptive Kernel Regression	Mohammad Moinul Islam; Vijayan K. Asari; Mohammed Nazrul Islam; Mohammad A. Karim	Advances in Visual Computing: 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009, Proceedings, Part II	Richard Boyle; Bahram Parvin; Darko Koracin; Yoshinori Kuno; Junxian Wang; Pajarola Renato; Peter Lindstrom; Andre Hinkenjann; Miguel L. Encarnacao; Claudio T. Silva; Daniel Coming	2009	Springer Berlin Heidelberg
Locally Adaptive Kernel Regression for Space-Time Super-Resolution	Hiroyuki Takeda; Peyman Milanfar	Super-Resolution Imaging	Peyman Milanfar	2011	Routledge
Block Adaptive Super Resolution Video Coding	Siwei Ma; Li Zhang; Xinfeng Zhang; Wen Gao	Advances in Multimedia Information Processing - PCM 2009: 10th Pacific Rim Conference on Multimedia, Bangkok, Thailand, December 15-18, 2009. Proceedings	Paisarn Muneesawang; Feng Wu; Itsuo Kumazawa; Athikom Roeksabutr; Hong-Yuan Mark Liao; Xiaoou Tang	2009	Springer Berlin Heidelberg
Image Super-Resolution Using Local Learnable Kernel Regression	Renjie Liao; Zengchang Qin	Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part III	Kyoung Mu Lee; Yasuyuki Matsushita; James M. Rehg; Zhanyi Hu	2013	Springer Berlin Heidelberg
Face Super Resolution by Tangential and Exponential Kernel Weighted Regression Model	B. Deshmukh Amar; N. Usha Rani	Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2	Suresh Chandra Satapathy; Amit Joshi	1st ed. 2018	Springer International Publishing
Adaptive-Order Regression-Based MR Image Super-Resolution	Jing Hu	The Proceedings of the International Conference on Sensing and Imaging	Ming Jiang; Nathan Ida; Alfred K. Louis; Eric Todd Quinto	1st ed. 2019	Springer International Publishing
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution	Xuan Xu; Xin Xiong; Jinge Wang; Xin Li	Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part IV	Adrien Bartoli; Andrea Fusiello	1st ed. 2020	Springer International Publishing
Super-Resolution from Compressed Video	C. Andrew Segall; Aggelos K. Katsaggelos; Rafael Molina; Javier Mateos	Super-Resolution Imaging	Subhasis Chaudhuri	2001	Springer US
Video Super Resolution: A Review	Mrunmayee V. Daithankar; Sachin D. Ruikar	ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications	Amit Kumar; Marcin Paprzycki; Vinit Kumar Gunjan	1st ed. 2020	Springer Nature Singapore
Dynamic Content Adaptive Super-Resolution	Mei Chen	Image Analysis and Recognition: International Conference ICIAR 2004, Porto, Portugal, September 29 - October 1, 2004, Proceedings, Part I	Aurélio Campilho; Mohamed Kamel	2004	Springer Berlin Heidelberg
Adaptive Down-Sampling and Super-Resolution for Additional Video Compression	Bin Zhao; Jianmin Jiang	Industrial Networks and Intelligent Systems: Second International Conference, INISCOM 2016, Leicester, UK, October 31 – November 1, 2016, Proceedings	Leandros A. Maglaras; Helge Janicke; Kevin Jones	1st ed. 2017	Springer International Publishing
Adaptive Bilateral Filtering for Super-Resolution Reconstruction of Video Sequences	Giaime Ginesu; Tiziana Dessì; Luigi Atzori; Daniele D. Giusto	Mobile Multimedia Communications: 6th International ICST Conference, MOBIMEDIA 2010, Lisbon, Portugal, September 6-8, 2010. Revised Selected Papers	Jonathan Rodriguez; Rahim Tafazolli; Christos Verikoukis	2012	Springer Berlin Heidelberg
Super-Resolution MRI Using Fractional Order Kernel Regression and Total Variation	Vazim Ibrahim; Joseph Suresh Paul	Proceedings of International Conference on Computational Intelligence: ICCI 2020	Ritu Tiwari; Apoorva Mishra; Neha Yadav; Mario Pavone	1st ed. 2022	Springer Nature Singapore
Image and Video Super Resolution Techniques	Jinjun Wang; Yihong Gong	Encyclopedia of Multimedia	Borko Furht	2nd ed. 2008	Springer US
Super-Resolution Using Adaptive Wiener Filters	Russell C. Hardie	Super-Resolution Imaging	Peyman Milanfar	2011	Routledge
Adaptive Video Super-Resolution Based on Superpixel-Guided Auto-Regressive Model	Yanming Zhu; Kun Li; Jianmin Jiang; Jingyu Yang	Advances in Multimedia Information Processing - PCM 2013: 14th Pacific-Rim Conference on Multimedia, Nanjing, China, December 13-16, 2013, Proceedings	Benoit Huet; Chong-Wah Ngo; Jinhui Tang; Zhi-Hua Zhou; Alexander G. Hauptmann; Shuicheng Yan	2013	Springer International Publishing
Adaptive Video Super-Resolution Based on Superpixel-Guided Auto-Regressive Mod		Advances in Multimedia Information Processing – PCM 2013: 14th Pacific-Rim Conference on Multimedia, Nanjing, China, December 13-16, 2013. Proceedings	Mohamed Osamnia, Arjulie John Berena (auth.), Benoit Huet, Chong-Wah Ngo, Jinhui Tang, Zhi-Hua Zhou, Alexander G. Hauptmann, Shuicheng Yan (eds.)	2013	Springer International Publishing
Kernel Regression		Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments	John Wolberg	2006	Springer Berlin Heidelberg
Kernel regression	M.P. Wand; M.C. Jones	Kernel Smoothing	M.P. Wand; M.C. Jones	1994	Routledge
Kernel Regression		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
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