Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering-Reference-Cited by-同舟云学术

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Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering

Published:2024-10 Issue: Volume:252 Page:124243
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Xu Kaiqiang^ORCID,Tang Kewei^ORCID,Su Zhixun^ORCID,Tan Hongchen^ORCID

Publisher

Elsevier BV

Reference55 articles.

1. Deep multimodal subspace clustering networks;Abavisani;IEEE Journal of Selected Topics in Signal Processing,2018

2. Multi-view low-rank sparse subspace clustering;Brbić;Pattern Recognition,2018

3. Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering;Cai;Information Fusion,2023

4. Robust principal component analysis?;Candès;Journal of the ACM,2011

5. Diversity-induced multi-view subspace clustering;Cao,2015

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