"Local Sensitive Low Rank Matrix Approximation via Nonconvex Optimization"

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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
Duality for Nonconvex Approximation and Optimization	Ivan Singer	2006	Springer New York
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
Conjugate Gradient Algorithms in Nonconvex Optimization	Radoslaw Pytlak	2009	Springer Berlin Heidelberg
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications	Omar Oreifej; Mubarak Shah	2014	Springer International Publishing
Optimization and approximation	Pedregal, Pablo	2017	Springer
Optimization and Approximation	Pablo Pedregal	1st ed. 2017	Springer International Publishing
Optimization and approximation	Werner Krabs	1979	Wiley
Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization	Adil M. Bagirov; Napsu Karmitsa; Sona Taheri	1st ed. 2020	Springer International Publishing
Topics in Nonconvex Optimization: Theory and Applications	Shashi K. Mishra	2011	Springer New York
Approximation, Optimization and Mathematical Economics	Marc Lassonde	2001	Physica-Verlag HD
Advances in Optimization and Approximation	Ding-Zhu Du; Jie Sun	1994	Springer US
A branch and bound method for nonseparable nonconvex optimization	James K. Hartman	1975	Naval Postgraduate School
Microstructure Sensitive Design for Performance Optimization	Brent L. Adams	2013	Butterworth-Heinemann
Optimization Algorithms on Matrix Manifolds	P.-A. Absil; R. Mahony; Rodolphe Sepulchre	2008	Princeton University Press
Optimization Algorithms on Matrix Manifolds	P.-A. Absil, R. Mahony, R. Sepulchre	2007	Princeton University Press
Optimization algorithms on matrix manifolds	Sepulchre, Rodolphe; Absil, P.-A; Mahony, Robert	2008	Princeton University Press
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
Statistical Inference via Convex Optimization	Anatoli Juditsky; Arkadi Nemirovski	2020	Princeton University Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
Bounded Matrix Low Rank Approximation	Ramakrishnan Kannan; Mariya Ishteva; Barry Drake; Haesun Park	Non-negative Matrix Factorization Techniques: Advances in Theory and Applications	Ganesh R. Naik	1st ed. 2016	Springer Berlin Heidelberg
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 factorizations and low-rank approximation		Fast direct solvers for elliptic PDEs /	Martinsson, Per-Gunnar,		SIAM
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
32 Matrix Norms and Low-Rank Matrix Approximation		Applied Mathematics	Charles K. Chui, Qingtang Jiang	2013	Atlantis Press
Low Rank Approximation		LAFF - Linear Algebra: Foundations to Frontiers	Robert van de Geijn, Maggie Myers	2014
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
Low-Rank Matrix Approximation and Subspace Tracking	Patrick Dewilde; Alle-Jan van der Veen	Time-Varying Systems and Computations	Patrick DeWilde; Alle-Jan van der Veen	1998	Springer US
Fast Nyström for Low Rank Matrix Approximation	Huaxiang Zhang; Zhichao Wang; Linlin Cao	Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings	Shuigeng Zhou; Songmao Zhang; George Karypis	2012	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
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation	Chongming Gao; Shuai Yuan; Zhong Zhang; Hongzhi Yin; Junming Shao	Database Systems for Advanced Applications: DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings	Guoliang Li; Jun Yang; Joao Gama; Juggapong Natwichai; Yongxin Tong	1st ed. 2019	Springer International Publishing
STRUCTURED LOW RANK APPROXIMATION	Moody T. Chu; Gene H. Golub	Inverse Eigenvalue Problems: Theory, Algorithms, and Applications	Moody Chu; Gene Golub	2005	Oxford University Press
Sublinear Cost Low Rank Approximation via Subspace Sampling	Victor Y. Pan; Qi Luan; John Svadlenka; Liang Zhao	Mathematical Aspects of Computer and Information Sciences: 8th International Conference, MACIS 2019, Gebze, Turkey, November 13–15, 2019, Revised Selected Papers	Daniel Slamanig; Elias Tsigaridas; Zafeirakis Zafeirakopoulos	1st ed. 2020	Springer International Publishing
Adaptive Sampling and Fast Low-Rank Matrix Approximation	Amit Deshpande; Santosh Vempala	Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques: 9th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2006 and 10th International Workshop on Randomization and Computation, RANDOM 2006, Barcelona, Spain, August 28-30, 2006, Proceedings	Josep Diaz; Klaus Jansen; José D.P. Rolim; Uri Zwick	2006	Springer Berlin Heidelberg
Structured Low Rank Approximation of a Sylvester Matrix	Erich Kaltofen; Zhengfeng Yang; Lihong Zhi	Symbolic-Numeric Computation	Dongming Wang; Li-Hong Zhi	2007	Birkhäuser Basel
Global Optimization Challenges in Structured Low Rank Approximation	Jonathan Gillard; Anatoly Zhigljavsky	Learning and Intelligent Optimization: 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers	Roberto Battiti; Dmitri E. Kvasov; Yaroslav D. Sergeyev	1st ed. 2017	Springer International Publishing
Low-Rank Matrix Recovery	Angshul Majumdar	Compressed Sensing for Engineers	Angshul Majumdar	2018	Routledge
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
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