Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering

Lele Fu; Jing‐Hua Yang; Chuan Chen; Chuanfu Zhang

doi:10.1016/j.ins.2022.05.091

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Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering

Lele Fu Jing‐Hua Yang Chuan Chen Chuanfu Zhang

Year: 2022 Journal: Information Sciences Vol: 606 Pages: 877-891 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2022.05.091

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Keywords:

Cluster analysis Subspace topology Tensor (intrinsic definition) Rank (graph theory) Spectral clustering Mathematics Matrix norm Computer science Artificial intelligence Theoretical computer science Pattern recognition (psychology) Algorithm Eigenvalues and eigenvectors Combinatorics Pure mathematics Physics

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Tensor decomposition and applications

Physical Sciences → Mathematics → Computational Mathematics

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

Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering

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