Incomplete Robust Principal Component Analysis
- Release time:2024-08-09
- Hits:
-
-
-
Affiliation of Author(s):
理学院
-
-
Journal:
ICIC Express Letters, Part B: Applications
-
-
-
Key Words:
中文关键字：鲁棒主成分分析；矩阵补全；低秩矩阵恢复；核范数最小化；增广拉格朗日乘子法，英文关键字：robust principal component analysis; matrix comple
-
Abstract:
This paper studies the problem of incomplete robust principal component analysis (IRPCA) and proposes an iterative algorithm to solve it. The IRPCA problem can be described as a convex program which minimizes a weighted combination of nuclear norm and l1-norm. The inexact augmented Lagrange multiplier method is applied to solve IRPCA and the iterative procedure is developed. Experimental results demonstrate that the proposed method is more effective than other methods in low-rank recovery performance.
-
Note:
EI期刊检索
-
Co-author:
雍龙泉
-
First Author:
zhengxiuyun,shijiarong
-
Indexed by:
Journal paper
-
-
-
-
-
-
Volume:
卷：5
-
Issue:
期：6
-
Page Number:
页：1531-1538
-
-
-
Translation or Not:
no
-
-
Date of Publication:
2014-12-01
-
-
