Latent Low-Rank Representation With Weighted Distance Penalty for Clustering-Reference-Cited by-同舟云学术

Latent Low-Rank Representation With Weighted Distance Penalty for Clustering

Published:2022 Issue: Volume: Page:1-13
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Fu Zhiqiang¹,Zhao Yao¹^ORCID,Chang Dongxia¹^ORCID,Wang Yiming¹^ORCID,Wen Jie²^ORCID

Affiliation:

1. Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing 100044, China.

2. Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.

Funder

National Key Research and Development of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09768179.pdf?arnumber=9768179

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