A singular value p-shrinkage thresholding algorithm for low rank matrix recovery

被引：0
|
作者：
Yu-Fan Li
Kun Shang
Zheng-Hai Huang
机构：
[1] Sun Yat-Sen University,School of Mathematics (Zhuhai)
[2] Hunan University,College of Mathematics and Econometrics
[3] Tianjin University,School of Mathematics
来源：
Computational Optimization and Applications | 2019年 / 73卷
关键词：
Low rank matrix recovery; Matrix completion; Singular value ; -shrinkage thresholding; Image inpainting; 65K05; 90C26; 90C59;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we propose an iterative singular value p-shrinkage thresholding algorithm for solving low rank matrix recovery problem, and also give its two accelerated versions using randomized singular value decomposition. The convergence result of the proposed singular value p-shrinkage thresholding algorithm is proved. Numerical results based on simulation data and real data show the effectiveness of all the three proposed algorithms compared to the existing state-of-the-art algorithms.
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收藏
页码：453 / 476
页数：23
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