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Joint Multi-View Unsupervised Feature Selection and Graph Learning

Published:2024-02 Issue:1 Volume:8 Page:16-31
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Fang Si-Guo¹^ORCID,Huang Dong¹^ORCID,Wang Chang-Dong²^ORCID,Tang Yong³^ORCID

Affiliation:

1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

2. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

3. School of Computer Science, South China Normal University, Guangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7433297/10412693/10233042.pdf?arnumber=10233042

Cited by 13 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. Multi-view Stable Feature Selection with Adaptive Optimization of View Weights;Knowledge-Based Systems;2024-09

2. Pairwise-Constraint-Guided Multi-View Feature Selection by Joint Sparse Regularization and Similarity Learning;Mathematics;2024-07-21

3. Self-paced regularized adaptive multi-view unsupervised feature selection;Neural Networks;2024-07

4. Discriminative Subspace Learning With Adaptive Graph Regularization;The Computer Journal;2024-06-10

5. Adaptive CAPTCHA: A CRNN-Based Text CAPTCHA Solver with Adaptive Fusion Filter Networks;Applied Sciences;2024-06-08

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