Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view-Reference-Cited by-同舟云学术

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Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view

Published:2024-03 Issue: Volume:103 Page:102087
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Liao Yun,Liu Yong^ORCID,Liao Shizhong,Hu Qinghua,Dang Jianwu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference60 articles.

1. S. Bickel, T. Scheffer, Multi-view clustering, in: Proceedings of the 4th IEEE International Conference on Data Mining, ICDM, 2004, pp. 19–26.

2. Late fusion incomplete multi-view clustering;Liu;IEEE Trans. Pattern Anal. Mach. Intell.,2019

3. Learning a joint affinity graph for multiview subspace clustering;Tang;IEEE Trans. Multimed.,2019

4. Efficient and effective regularized incomplete multi-view clustering;Liu;IEEE Trans. Pattern Anal. Mach. Intell.,2021

5. Generalized latent multi-view subspace clustering;Zhang;IEEE Trans. Pattern Anal. Mach. Intell.,2020

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