"Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization"

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Book	Author(s)	Year	Publisher
Optimization on Low Rank Nonconvex Structures	Hiroshi Konno; Phan Thien Thach; Hoang Tuy	1997	Springer US
Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing	Thierry Bouwmans; Necdet Serhat Aybat; El-hadi Zahzah	2016	Routledge
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications	Omar Oreifej; Mubarak Shah	2014	Springer International Publishing
Automorphic Representations of Low Rank Groups	Yuval Z. Flicker	2006	World Scientific
Low Rank Approximation: Algorithms, Implementation, Applications	Ivan Markovsky	2012	Springer London
Low-Rank Approximation: Algorithms, Implementation, Applications	Ivan Markovsky	2nd ed. 2019	Springer International Publishing
Low-Rank Models in Visual Analysis	Zhouchen Lin and Hongyang Zhang	2018	Academic Press
Regularization of Ill-Posed Problems by Iteration Methods	S. F. Gilyazov, N. L. Gol’dman (auth.)	2000	Springer Netherlands
Regularization of Ill-Posed Problems by Iteration Methods	S. F. Gilyazov; N. L. Gol’dman	2000	Springer Netherlands
Low-Rank and Sparse Modeling for Visual Analysis	Yun Fu	2014	Springer International Publishing
Low Rank Representations and Graphs for Sporadic Groups	Cheryl E. Praeger; Leonard H. Soicher	1996-12	Cambridge University Press
Deep Learning Through Sparse and Low-Rank Modeling	Thomas Huang; Yun Fu andZhangyang Wang	2019	Academic Press
Regularization of inverse problems	Heinz Werner Engl, Martin Hanke, Andreas Neubauer	1996	Springer
Power Recovery from Low Grade Heat by Means of Screw Expanders (Second Edition)	Ian Smith; Nikola Stosic and Ahmed Kovacevic	2014	Chandos Publishing
Delivering Low-Carbon Biofuels with Bioproduct Recovery	Durga Madhab Mahapatra and Lakhveer Singh	2020	Elsevier
Low-Rank Coals for Power Generation, Fuel and Chemical Production	Zhongyang Luo and Michalis Agraniotis	2017	Woodhead Publishing
Variational Regularization for Systems of Inverse Problems: Tikhonov Regularization with Multiple Forward Operators	Richard Huber	1st ed. 2019	Springer Fachmedien Wiesbaden
Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems	Steven J. Simske	2013	Wiley-IEEE Press
Rank	Aaron McCollough	2015	University of Iowa Press
Rank	D. R. Graham	2015	HarperCollins Publishers Limited
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization	Hengmin Zhang; Wei Luo; Wenli Du; Jianjun Qian; Jian Yang; Bob Zhang	Image and Graphics: 11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part II	Yuxin Peng; Shi-Min Hu; Moncef Gabbouj; Kun Zhou; Michael Elad; Kun Xu	1st ed. 2021	Springer International Publishing
Low-Rank Matrix Recovery with Discriminant Regularization	Zhonglong Zheng; Haixin Zhang; Jiong Jia; Jianmin Zhao; Li Guo; Fangmei Fu et al.	Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II	Jian Pei; Vincent S. Tseng; Longbing Cao; Hiroshi Motoda; Guandong Xu	2013	Springer Berlin Heidelberg
Low-Rank Matrix Recovery	Angshul Majumdar	Compressed Sensing for Engineers	Angshul Majumdar	2018	Routledge
Robust Image Restoration via Reweighted Low-Rank Matrix Recovery	Yigang Peng; Jinli Suo; Qionghai Dai; Wenli Xu; Song Lu	MultiMedia Modeling: 20th Anniversary International Conference, MMM 2014, Dublin, Ireland, January 6-10, 2014, Proceedings, Part I	Cathal Gurrin; Frank Hopfgartner; Wolfgang Hurst; Håvard Johansen; Hyowon Lee; Noel O’Connor	2014	Springer International Publishing
Low-Rank Nonconvex Structures	Hiroshi Konno; Phan Thien Thach; Hoang Tuy	Optimization on Low Rank Nonconvex Structures	Hiroshi Konno; Phan Thien Thach; Hoang Tuy	1997	Springer US
Matrix Completion and Low-Rank Matrix Recovery	Robert Qiu; Michael Wicks	Cognitive Networked Sensing and Big Data	Robert Qiu; Michael Wicks	2014	Springer New York
Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery	Lun Wu; Arvind Ganesh; Boxin Shi; Yasuyuki Matsushita; Yongtian Wang; Yi Ma	Computer Vision - ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III	Reinhard Klette; Ron Kimmel; Akihiro Sugimoto	2011	Springer Berlin Heidelberg
Low Rank Nonconvex Quadratic Programming	Hiroshi Konno; Phan Thien Thach; Hoang Tuy	Optimization on Low Rank Nonconvex Structures	Hiroshi Konno; Phan Thien Thach; Hoang Tuy	1997	Springer US
Local Sensitive Low Rank Matrix Approximation via Nonconvex Optimization	Chong-Ya Li; Wenzheng Bao; Zhipeng Li; Youhua Zhang; Yong-Li Jiang; Chang-An Yuan	Intelligent Computing Methodologies: 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III	De-Shuang Huang; Abir Hussain; Kyungsook Han; M. Michael Gromiha	1st ed. 2017	Springer International Publishing
Robust Multi-view Subspace Learning Through Structured Low-Rank Matrix Recovery	Jiamiao Xu; Xinge You; Qi Zheng; Fangzhao Wang; Peng Zhang	Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III	Jian-Huang Lai; Cheng-Lin Liu; Xilin Chen; Jie Zhou; Tieniu Tan; Nanning Zheng; Hongbin Zha	1st ed. 2018	Springer International Publishing
Low Rank Matrix Recovery: Nuclear Norm Penalization	Vladimir Koltchinskii	Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems: École d’Été de Probabilités de Saint-Flour XXXVIII-2008	Vladimir Koltchinskii	2011	Springer Berlin Heidelberg
Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization	Xiang Zhang; Yongqiang Gao; Long Lan; Xiaowei Guo; Xuhui Huang; Zhigang Luo	PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28–31, 2018, Proceedings, Part I	Xin Geng; Byeong-Ho Kang	1st ed. 2018	Springer International Publishing
Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization	Lijuan Sun; Songhe Feng; Gengyu Lyu; Congyan Lang	Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II	Qiang Yang; Zhi-Hua Zhou; Zhiguo Gong; Min-Ling Zhang; Sheng-Jun Huang	1st ed. 2019	Springer International Publishing
Robust Low Rank Trajectories	Joel Gibson; Oge Marques	Optical Flow and Trajectory Estimation Methods	Joel Gibson; Oge Marques	1st ed. 2016	Springer International Publishing
Low-Rank Tensor Recovery	Yipeng Liu; Jiani Liu; Zhen Long; Ce Zhu	Tensor Computation for Data Analysis	Yipeng Liu; Jiani Liu; Zhen Long; Ce Zhu	1st ed. 2022	Springer International Publishing
Visual Salience Learning via Low Rank Matrix Recovery	Junxia Li; Jundi Ding; Jian Yang	Computer Vision -- ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III	Daniel Cremers; Ian Reid; Hideo Saito; Ming-Hsuan Yang	2015	Springer International Publishing
Low-Rank Matrix Completion		Fundamentals of Matrix Computations	Olga Moreira (editor)	2020	Arcler Press
Low-Rank Matrix Factorization		Network Embedding Theories, Methods and Applications	Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun	2020	Morgan & Claypool Publishers
Nonconvex Robust Problems	Saeedeh Parsaeefard; Ahmad Reza Sharafat; Nader Mokari	Robust Resource Allocation in Future Wireless Networks	Saeedeh Parsaeefard; Ahmad Reza Sharafat; Nader Mokari	1st ed. 2017	Springer International Publishing
Nonsmooth Low-Rank Matrix Recovery: Methodology, Theory and Algorithm	Wei Tu; Peng Liu; Yi Liu; Guodong Li; Bei Jiang; Linglong Kong et al.	Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1	Kohei Arai	1st ed. 2022	Springer International Publishing
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