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Fast Low-Rank Matrix Learning with Nonconvex Regularization

Fast Low-Rank Matrix Learning with Nonconvex Regularization

3 December 2015
Quanming Yao
James T. Kwok
Leon Wenliang Zhong
ArXiv (abs)PDFHTML

Papers citing "Fast Low-Rank Matrix Learning with Nonconvex Regularization"

7 / 7 papers shown
Title
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers
April Sagan
J. Mitchell
38
5
0
13 Jun 2020
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image
  Recovery
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
Zhao Zhang
Lei Wang
Sheng Li
Yang Wang
Zheng Zhang
Zhengjun Zha
Meng Wang
45
11
0
21 Aug 2019
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector
  Machines
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines
Lei Guan
Linbo Qiao
Dongsheng Li
Tao Sun
Ke-shi Ge
Xicheng Lu
59
14
0
11 Sep 2018
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Quanming Yao
James T. Kwok
Taifeng Wang
Tie-Yan Liu
72
95
0
01 Aug 2017
Learning of Generalized Low-Rank Models: A Greedy Approach
Learning of Generalized Low-Rank Models: A Greedy Approach
Quanming Yao
James T. Kwok
55
1
0
27 Jul 2016
Efficient Learning with a Family of Nonconvex Regularizers by
  Redistributing Nonconvexity
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
Quanming Yao
James T. Kwok
61
53
0
13 Jun 2016
Decomposition into Low-rank plus Additive Matrices for
  Background/Foreground Separation: A Review for a Comparative Evaluation with
  a Large-Scale Dataset
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
99
332
0
04 Nov 2015
1