A multi-objective memetic algorithm for low rank and sparse matrix decomposition

Low rank and sparse matrix decomposition is increasingly concerned in many research fields for its particular properties in exploring local and global components. The objective of this problem consists of two conflicting terms, the low rank term and the sparse term, most of the previous methods comb...

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Bibliographic Details

Published in:	Information sciences Vol. 468; pp. 172 - 192
Main Authors:	Wu, Tao, Shi, Jiao, Jiang, Xiangming, Zhou, Deyun, Gong, Maoguo
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.11.2018
Subjects:	Low rank Matrix decomposition Multi-objective optimization Singular value Sparse Multi-objective optimization Sparse Matrix decomposition Low rank Singular value
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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