A Clustering-guided Contrastive Fusion for Multi-view Representation Learning-Reference-Cited by-同舟云学术

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A Clustering-guided Contrastive Fusion for Multi-view Representation Learning

Published:2023 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Ke Guanzhou¹^ORCID,Chao Guoqing²^ORCID,Wang Xiaoli³^ORCID,Xu Chenyang⁴,Zhu Yongqi¹,Yu Yang¹

Affiliation:

1. Institute of Data Science and Intelligent Decision Support, Beijing Jiaotong University, Beijing, China

2. School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China

3. School of Computer Science and Engineering, Nanjing University of Science And Technology, Nanjing, China

4. Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China

Funder

the Fundamental Research Funds for the Beijing Jiaotong University, China

the Fundamental Research Funds for the Central Universities (Science and technology leading talent team project), China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/10198322.pdf?arnumber=10198322

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5. AMCFCN: attentive multi-view contrastive fusion clustering net;PeerJ Computer Science;2024-03-05

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