Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification

Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie

doi:10.1016/j.neucom.2022.09.087

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Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification

Naiyao Liang Zuyuan Yang Zhenni Li Shengli Xie

Year: 2022 Journal: Neurocomputing Vol: 512 Pages: 443-455 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2022.09.087

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Keywords:

Computer science Matrix decomposition Lemma (botany) Labeled data Semi-supervised learning Artificial intelligence Matrix (chemical analysis) Representation (politics) Convergence (economics) Norm (philosophy) Pattern recognition (psychology) Machine learning Algorithm

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification

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