High-order Complementarity Induced Fast Multi-View Clustering with Enhanced Tensor Rank Minimization-Reference-Cited by-同舟云学术

High-order Complementarity Induced Fast Multi-View Clustering with Enhanced Tensor Rank Minimization

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Ji Jintian¹^ORCID,Feng Songhe¹^ORCID

Affiliation:

1. Beijing Jiaotong University, Beijing, China

Funder

The Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611733

Reference48 articles.

1. Algorithms and applications for approximate nonnegative matrix factorization

2. Thomas Blumensath . 2014 . Sparse matrix decompositions for clustering . In 2014 22nd European Signal Processing Conference (EUSIPCO). IEEE, 1163--1167 . Thomas Blumensath. 2014. Sparse matrix decompositions for clustering. In 2014 22nd European Signal Processing Conference (EUSIPCO). IEEE, 1163--1167.

3. Diversity-induced Multi-view Subspace Clustering

4. Low-Rank Tensor Based Proximity Learning for Multi-View Clustering

5. Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering

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