Efficient Multi-View -Means for Image Clustering<i />-Reference-Cited by-同舟云学术

Efficient Multi-View -Means for Image Clustering

Published:2024 Issue: Volume:33 Page:273-284

ISSN:1057-7149

Container-title:IEEE Transactions on Image Processing

language:

Short-container-title:IEEE Trans. on Image Process.

Author:

Lu Han¹^ORCID,Xu Huafu²,Wang Qianqian¹,Gao Quanxue¹^ORCID,Yang Ming³^ORCID,Gao Xinbo⁴

Affiliation:

1. School of Telecommunications Engineering, Xidian University, Xi’an, China
2. Guangxi Zhuang Autonomous Region Information Center, Nanning, China
3. College of Mathematical Sciences, Harbin Engineering University, Heilongjiang, China
4. Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Natural Science Foundation of China
State Key Laboratory of Multimodal Artificial Intelligence Systems
Fundamental Research Funds for the Central Universities
Innovation Fund of Xidian University
Guangxi Key Laboratory of Digital Infrastructure
Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10359466.pdf?arnumber=10359466

Reference43 articles.

1. Multi-View Clustering
2. Multiview spectral embedding;Xia;IEEE Trans. Syst., Man, Cybern. B, Cybern.,2010
3. Guided co-training for multi-view spectral clustering
4. Graph Learning for Multiview Clustering
5. Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering

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