Multi-view Discriminative Feature Selection-Reference-Cited by-同舟云学术

Multi-view Discriminative Feature Selection

Published:2021-09-24 Issue: Volume: Page:
ISSN:
Container-title:2021 4th International Conference on Artificial Intelligence and Pattern Recognition
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Author:

Zhi Xiaobin¹,Liu Jinghui¹,Wu Shaoru¹

Affiliation:

1. Xi'an University of Posts and Telecommunications, China

Funder

National Science Foundation of China

National Science Basic Research Plan in Shaanxi Province of China

New Star Team of Xi?an University of Posts and Telecommunications

Science Plan Foundation of the Education Bureau of Shaanxi Province of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488933.3489022

Reference23 articles.

1. Robust subspace clustering for multi-view data by exploiting correlation consensus;Yang Wang;IEEE Transactions on Image Processing. USA,2015

2. Ghufran Ahmad Khan Jie. Hu Tianrui. Li Bassoma Diallo Hongjun. Wang. 2021. Multi-view data clustering via non-negative matrix factorization with manifold regularization. International Journal of Machine Learning and Cybernetics. https://doi.org/10.1007/s13042-021-01307-7 Ghufran Ahmad Khan Jie. Hu Tianrui. Li Bassoma Diallo Hongjun. Wang. 2021. Multi-view data clustering via non-negative matrix factorization with manifold regularization. International Journal of Machine Learning and Cybernetics. https://doi.org/10.1007/s13042-021-01307-7

3. Chang . Xu , Dacheng . Tao and Chao . Xu. 2013. A survey on multi-view learning. Computer Science. (April 2013 ), 2031–2038. Chang. Xu, Dacheng. Tao and Chao. Xu. 2013. A survey on multi-view learning. Computer Science. (April 2013), 2031–2038.

4. Emrah. Hancer Bing. Xue Mengjie. Zhang. 2020. A survey on feature selection approaches for clustering. Artificial Intelligence Review. 4519–4545. https://doi.org/10.1007/s10462-019-09800-w Emrah. Hancer Bing. Xue Mengjie. Zhang. 2020. A survey on feature selection approaches for clustering. Artificial Intelligence Review. 4519–4545. https://doi.org/10.1007/s10462-019-09800-w

5. Effective Discriminative Feature Selection With Nontrivial Solution

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