ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1008.5373
  4. Cited By

Penalty Decomposition Methods for Rank Minimization

31 August 2010
Zhaosong Lu
Yong Zhang
ArXivPDFHTML

Papers citing "Penalty Decomposition Methods for Rank Minimization"

12 / 12 papers shown
Title
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic
  Data Imputation
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Xinyu Chen
Mengying Lei
Nicolas Saunier
Lijun Sun
27
102
0
30 Apr 2021
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series
  Forecasting
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Xinyu Chen
Lijun Sun
AI4TS
19
21
0
18 Jun 2020
Efficient Proximal Mapping Computation for Unitarily Invariant Low-Rank
  Inducing Norms
Efficient Proximal Mapping Computation for Unitarily Invariant Low-Rank Inducing Norms
Christian Grussler
Pontus Giselsson
14
0
0
17 Oct 2018
Efficient Rank Minimization via Solving Non-convexPenalties by Iterative
  Shrinkage-Thresholding Algorithm
Efficient Rank Minimization via Solving Non-convexPenalties by Iterative Shrinkage-Thresholding Algorithm
Zaiyi Chen
MQ
19
1
0
14 Sep 2018
A non-convex approach to low-rank and sparse matrix decomposition
A non-convex approach to low-rank and sparse matrix decomposition
Angang Cui
Jigen Peng
Haiyang Li
Changlong Wang
19
0
0
02 Jul 2018
A successive difference-of-convex approximation method for a class of
  nonconvex nonsmooth optimization problems
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems
Tianxiang Liu
Ting Kei Pong
Akiko Takeda
23
44
0
16 Oct 2017
Exact Clustering of Weighted Graphs via Semidefinite Programming
Exact Clustering of Weighted Graphs via Semidefinite Programming
Aleksis Pirinen
Brendan P. W. Ames
18
4
0
16 Mar 2016
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion
Zehua Wang
Ming-Jun Lai
Zhaosong Lu
Wei Fan
H. Davulcu
Jieping Ye
41
99
0
04 Apr 2014
Schatten-ppp Quasi-Norm Regularized Matrix Optimization via Iterative Reweighted Singular Value Minimization
Zhaosong Lu
Yong Zhang
50
11
0
05 Jan 2014
Sparse Approximation via Penalty Decomposition Methods
Sparse Approximation via Penalty Decomposition Methods
Zhaosong Lu
Yong Zhang
49
208
0
10 May 2012
Guaranteed clustering and biclustering via semidefinite programming
Guaranteed clustering and biclustering via semidefinite programming
Brendan P. W. Ames
47
62
0
16 Feb 2012
Convex Optimization Methods for Dimension Reduction and Coefficient
  Estimation in Multivariate Linear Regression
Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression
Zhaosong Lu
R. Monteiro
M. Yuan
93
62
0
04 Apr 2009
1