Latent Low-Rank Representation for subspace segmentation and feature extraction

Guangcan Liu; Shuicheng Yan

doi:10.1109/iccv.2011.6126422

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Latent Low-Rank Representation for subspace segmentation and feature extraction

Guangcan Liu Shuicheng Yan

Year: 2011 Pages: 1615-1622

DOI: 10.1109/iccv.2011.6126422

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Abstract

10.1109/ICCV.2011.6126422

Keywords:

Subspace topology Pattern recognition (psychology) Computer science Feature extraction Artificial intelligence Segmentation Representation (politics) Rank (graph theory) Feature (linguistics) Mathematics

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24.82

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Topics

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Latent Low-Rank Representation for subspace segmentation and feature extraction

Abstract

Metrics

Citation History

Topics

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