Nonnegative Discriminant Matrix Factorization

Lu Yuwu,Lai Zhihui,Xu Yong,Li Xuelong,Zhang David,Yuan Chun

IEEE Transactions on Circuits and Systems for Video Technology（2017）

引用 53|浏览127

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摘要

Nonnegative matrix factorization (NMF), which aims at obtaining the nonnegative low-dimensional representation of data, has received wide attention. To obtain more effective nonnegative discriminant bases from the original NMF, in this paper, a novel method called nonnegative discriminant matrix factorization (NDMF) is proposed for image classification. NDMF integrates the nonnegative constraint, ...

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关键词

Matrix decomposition,Linear programming,Image reconstruction,Euclidean distance,Principal component analysis,Image classification,Convergence

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