A Smooth Approximation Algorithm of Rank-Regularized Optimization Problem and Its Applications
暂无分享,去创建一个
Jie Zhang | Chengcai Leng | Bo Li | Chunyuan Lu | Lianbao Jin | Chengcai Leng | Bo Li | Jie Zhang | Lianbao Jin | Chunyuan Lu
[1] Donald Goldfarb,et al. Robust Low-Rank Tensor Recovery: Models and Algorithms , 2013, SIAM J. Matrix Anal. Appl..
[2] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[3] Gonglin Yuan,et al. Inexact Accelerated Proximal Gradient Algorithms For Matrix l_{2,1}-Norm Minimization Problem in Multi-Task Feature Learning , 2014 .
[4] Jian-Feng Cai,et al. Linearized Bregman iterations for compressed sensing , 2009, Math. Comput..
[5] Arvind Ganesh,et al. Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix , 2009 .
[6] Yin Zhang,et al. Fixed-Point Continuation for l1-Minimization: Methodology and Convergence , 2008, SIAM J. Optim..
[7] Pablo A. Parrilo,et al. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization , 2007, SIAM Rev..
[8] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[9] Wotao Yin,et al. Bregman Iterative Algorithms for (cid:2) 1 -Minimization with Applications to Compressed Sensing ∗ , 2008 .
[10] John Wright,et al. Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization , 2009, NIPS.
[11] Zhixun Su,et al. Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation , 2011, NIPS.
[12] Arvind Ganesh,et al. Fast algorithms for recovering a corrupted low-rank matrix , 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
[13] Stanley Osher,et al. Total variation based image restoration with free local constraints , 1994, Proceedings of 1st International Conference on Image Processing.
[14] Emmanuel J. Candès,et al. Exact Matrix Completion via Convex Optimization , 2009, Found. Comput. Math..
[15] Pablo A. Parrilo,et al. Rank-Sparsity Incoherence for Matrix Decomposition , 2009, SIAM J. Optim..
[16] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[17] Zhang Yi,et al. fLRR: fast low-rank representation using Frobenius-norm , 2014 .
[18] Li Xu,et al. Structure extraction from texture via relative total variation , 2012, ACM Trans. Graph..