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1606.01245
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Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization
AAAI Conference on Artificial Intelligence (AAAI), 2016
4 June 2016
Fanhua Shang
Yuanyuan Liu
James Cheng
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Papers citing
"Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization"
8 / 8 papers shown
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
Fanhua Shang
James Cheng
Yuanyuan Liu
Jianfeng Yao
Zhouchen Lin
174
162
0
11 Oct 2018
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
351
175
0
16 Aug 2018
Low Rank Regularization: A Review
Zhanxuan Hu
Feiping Nie
Rong Wang
Xuelong Li
366
97
0
14 Aug 2018
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
Fanhua Shang
Yuanyuan Liu
James Cheng
170
49
0
28 Feb 2018
A Non-monotone Alternating Updating Method for A Class of Matrix Factorization Problems
Lei Yang
Ting Kei Pong
Xiaojun Chen
225
12
0
18 May 2017
A Unified Convex Surrogate for the Schatten-
p
p
p
Norm
Chen Xu
Zhouchen Lin
H. Zha
248
64
0
25 Nov 2016
Unified Scalable Equivalent Formulations for Schatten Quasi-Norms
Fanhua Shang
Yuanyuan Liu
James Cheng
289
18
0
02 Jun 2016
Enhanced Low-Rank Matrix Approximation
Ankit Parekh
I. Selesnick
380
93
0
06 Nov 2015
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