Graph-Driven deep Multi-View Clustering with self-paced learning-Reference-Cited by-同舟云学术

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Graph-Driven deep Multi-View Clustering with self-paced learning

Published:2024-07 Issue: Volume:296 Page:111871
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Bai Shunshun^ORCID,Ren Xiaojin,Zheng Qinghai^ORCID,Zhu Jihua^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. W. Wang, R. Arora, K. Livescu, J. Bilmes, On deep multi-view representation learning, in: International Conference on Machine Learning, 2015, pp. 1083–1092.

2. Multi-view learning overview: Recent progress and new challenges;Zhao;Inf. Fusion,2017

3. A survey on multi-view learning;Xu,2013

4. L. Qu, M. Liu, D. Cao, L. Nie, Q. Tian, Context-aware multi-view summarization network for image-text matching, in: Proceedings of the 28th ACM International Conference on Multimedia, 2020, pp. 1047–1055.

5. A survey on multiview clustering;Chao;IEEE Trans. Artif. Intell.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weighted Self-Paced Learning with Belief Functions;Expert Systems with Applications;2024-12

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