Joint Shared-and-Specific Information for Deep Multi-View Clustering-Reference-Cited by-同舟云学术

Joint Shared-and-Specific Information for Deep Multi-View Clustering

Published:2023-12 Issue:12 Volume:33 Page:7224-7235
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:

Chen Jin¹,Huang Aiping¹^ORCID,Gao Wei²^ORCID,Niu Yuzhen¹^ORCID,Zhao Tiesong¹^ORCID

Affiliation:

1. Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

2. School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China

Funder

Natural Science Foundation of Fujian Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10348119/10130402.pdf?arnumber=10130402

Reference49 articles.

1. Robust Face Recognition with Deep Multi-View Representation Learning

2. A good practice towards top performance of face recognition: Transferred deep feature fusion;Xiong;arXiv:1704.00438,2017

3. Embedding Regularizer Learning for Multi-View Semi-Supervised Classification

4. Multi-View Data Fusion Oriented Clustering via Nuclear Norm Minimization

5. Tensorial Multi-View Clustering via Low-Rank Constrained High-Order Graph Learning

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