Joint latent low-rank and non-negative induced sparse representation for face recognition

Mingna Wu; Shu Wang; Zhigang Li; Long Zhang; Ling Wang; Zhenwen Ren

doi:10.1007/s10489-021-02338-x

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Joint latent low-rank and non-negative induced sparse representation for face recognition

Mingna Wu Shu Wang Zhigang Li Long Zhang Ling Wang Zhenwen Ren

Year: 2021 Journal: Applied Intelligence Vol: 51 (11)Pages: 8349-8364 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-021-02338-x

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Keywords:

Computer science Discriminative model Sparse approximation Pattern recognition (psychology) Outlier Artificial intelligence Robustness (evolution) Facial recognition system Rank (graph theory) Representation (politics) Regularization (linguistics) Machine learning Mathematics

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Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Face recognition and analysis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Joint latent low-rank and non-negative induced sparse representation for face recognition

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Citation History

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