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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Vydané v:	Information sciences Ročník 468; s. 172 - 192
Hlavní autori:	Wu, Tao, Shi, Jiao, Jiang, Xiangming, Zhou, Deyun, Gong, Maoguo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.11.2018
Predmet:	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
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