A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation

Zhu E.; Xu M.; Pi D.

首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation

【24h】

A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation

机译：A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Noise exhibits low rank or no sparsity in the low-rank matrix recovery, and the nuclear norm is not an accurate rank approximation of low-rank matrix. In the present study, to solve the mentioned problem, a novel nonconvex approximation function of the low-rank matrix was proposed. Subsequently, based on the nonconvex rank approximation function, a novel model of robust principal component analysis was proposed. Such model was solved with the alternating direction method, and its convergence was verified theoretically. Subsequently, the background separation experiments were performed on the Wallflower and SBMnet datasets. Furthermore, the effectiveness of the novel model was verified by numerical experiments.

著录项

来源
《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2020年第35期|9356935.1-9356935.17|共17页
作者
Zhu E.; Xu M.; Pi D.;
展开▼
作者单位

Jiangsu Vocat Coll Informat Technol, Coll Internet Things Engn, Wuxi 214153, Jiangsu, Peoples R China|Nanjing Univ Aeronaut & Astronaut, Coll Comp Sci & Technol, Nanjing 211106, Peoples R China;

Jiangsu Vocat Coll Informat Technol, Coll Elect & Informat Engn, Wuxi 214153, Jiangsu, Peoples R China;

Nanjing Univ Aeronaut & Astronaut, Coll Comp Sci & Technol, Nanjing 211106, Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词

A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation

摘要

著录项

相关主题

期刊订阅