Improved self-paced learning framework for nonnegative matrix factorization

Xiangxiang Zhu; Zhuosheng Zhang

doi:10.1016/j.patrec.2017.06.016

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Improved self-paced learning framework for nonnegative matrix factorization

Xiangxiang Zhu Zhuosheng Zhang

Year: 2017 Journal: Pattern Recognition Letters Vol: 97 Pages: 1-7 Publisher: Elsevier BV

DOI: 10.1016/j.patrec.2017.06.016

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Keywords:

Non-negative matrix factorization Maxima and minima Computer science Outlier Artificial intelligence Matrix decomposition Matrix (chemical analysis) Image (mathematics) Pattern recognition (psychology) Machine learning Mathematics

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Improved self-paced learning framework for nonnegative matrix factorization

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