Binary sparse nonnegative matrix factorization

Yuan Yuan; Xuelong Li; Yanwei Pang; Xin Lu; Dacheng Tao

doi:10.1109/TCSVT.2009.2017306

Binary sparse nonnegative matrix factorization

Yuan Yuan
, Xuelong Li
, Yanwei Pang
, Xin Lu
, Dacheng Tao

Aston University
Birkbeck University of London
Tianjin University
Nanyang Technological University

科研成果: 期刊稿件 › 文章 › 同行评审

49 引用（Scopus）

摘要

This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing process of B-SNMF are much faster than those of binary principal component analysis (B-PCA). Besides, B-SNMF is more robust to occlusions in images. Experimental results on face images demonstrate the effectiveness and the efficiency of the proposed B-SNMF.

源语言	英语
文章编号	4801604
页（从-至）	772-777
页数	6
期刊	IEEE Transactions on Circuits and Systems for Video Technology
卷	19
期	5
DOI	https://doi.org/10.1109/TCSVT.2009.2017306
出版状态	已出版 - 5月 2009
已对外发布	是

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keywords = "Fast algorithms, Non-negative matrix factorization, Part-based representation, Sparseness, Subspace selection",

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AU - Lu, Xin

AU - Tao, Dacheng

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KW - Fast algorithms

KW - Non-negative matrix factorization

KW - Part-based representation

KW - Sparseness

KW - Subspace selection

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Binary sparse nonnegative matrix factorization

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