Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding

Baicheng Pan; Chuandong Li; Hangjun Che

doi:10.1016/j.engappai.2024.108274

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Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding

Baicheng Pan Chuandong Li Hangjun Che

Year: 2024 Journal: Engineering Applications of Artificial Intelligence Vol: 133 Pages: 108274-108274 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2024.108274

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Keywords:

Subspace topology Computer science Cluster analysis Embedding Rank (graph theory) Graph Tensor (intrinsic definition) Laplacian matrix Artificial intelligence Mathematics Combinatorics Theoretical computer science Pure mathematics

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Tensor decomposition and applications

Physical Sciences → Mathematics → Computational Mathematics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding

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