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Tractable and Scalable Schatten Quasi-Norm Approximations for Rank
  Minimization

Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization

28 February 2018
Fanhua Shang
Yuanyuan Liu
James Cheng
ArXiv (abs)PDFHTML

Papers citing "Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization"

5 / 5 papers shown
Title
Column $\ell_{2,0}$-norm regularized factorization model of low-rank
  matrix recovery and its computation
Column ℓ2,0\ell_{2,0}ℓ2,0​-norm regularized factorization model of low-rank matrix recovery and its computation
Ting Tao
Yitian Qian
S. Pan
57
3
0
24 Aug 2020
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix
  Recovery
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
Jicong Fan
Lijun Ding
Yudong Chen
Madeleine Udell
98
70
0
13 Nov 2019
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and
  Applications
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
Fanhua Shang
James Cheng
Yuanyuan Liu
Zhi-Quan Luo
Zhouchen Lin
60
149
0
11 Oct 2018
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery
  in Signal Processing, Statistics, and Machine Learning
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei Wen
L. Chu
Peilin Liu
Robert C. Qiu
83
153
0
16 Aug 2018
A Unified Convex Surrogate for the Schatten-$p$ Norm
A Unified Convex Surrogate for the Schatten-ppp Norm
Chen Xu
Zhouchen Lin
H. Zha
65
52
0
25 Nov 2016
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