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Binary multi-view sparse subspace clustering

Published:2023-08-21 Issue:29 Volume:35 Page:21751-21770
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhao Jianxi^ORCID,Li Yang

Funder

R&D Program of Beijing Municipal Education Commission

Key Research and Cultivation Project of Scientific Research on Campus of Beijing Information Science and Technology University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08915-0.pdf

Reference86 articles.

1. Yang S, Li L, Wang S, Zhang W, Huang Q, Tian Q (2019) Skeletonnet: a hybrid network with a skeleton-embedding process for multi-view image representation learning. IEEE Trans Multimedia 21(11):2916–2929. https://doi.org/10.1109/TMM.2019.2912735

2. Baker Y, Tang TM, Allen GI (2020) Feature selection for data integration with mixed multiview data. Ann Appl Stat 14(4):1676–1698. https://doi.org/10.1214/20-AOAS1389

3. Xu J, Ren Y, Li G, Pan L, Zhu C, Xu Z (2021) Deep embedded multi-view clustering with collaborative training. Inf Sci 573:279–290. https://doi.org/10.1016/j.ins.2020.12.073

4. Liu X, Li M, Tang C, Xia J, Xiong J, Liu L, Kloft M, Zhu E (2021) Efficient and effective regularized incomplete multi-view clustering. IEEE Trans Pattern Anal Mach Intell 43(8):2634–2646. https://doi.org/10.1109/TPAMI.2020.2974828

5. R. Li, C. Zhang, H. Fu, X. Peng, T. Zhou and Q. Hu, “Reciprocal multi-layer subspace learning for multi-view clustering,” In: Proceedings of the IEEE/CVF international conference on computer vision, 2019: 8172–8180

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