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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
ArXivPDFHTML

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

3 / 3 papers shown
Title
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix
  Completion
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion
Yaqing Wang
Quanming Yao
James T. Kwok
24
0
0
14 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
20
70
0
13 Nov 2019
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
23
153
0
16 Aug 2018
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