Information Recovery-Driven Deep Incomplete Multiview Clustering Network-Reference-Cited by-同舟云学术

Information Recovery-Driven Deep Incomplete Multiview Clustering Network

Author:

Liu Chengliang¹^ORCID,Wen Jie¹^ORCID,Wu Zhihao¹^ORCID,Luo Xiaoling¹^ORCID,Huang Chao²^ORCID,Xu Yong³^ORCID

Affiliation:

1. Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China

2. School of Cyber Science and Technology, Sun Yat-sen University (Shenzhen Campus), Shenzhen, China

3. Shenzhen Key Laboratory of Visual Object Detection and Recognition and the Peng Cheng Laboratory, Harbin Institute of Technology, Shenzhen, China

Funder

Shenzhen Science and Technology Program

National Natural Science Foundation of China

Shenzhen Higher Education Stability Support Program Project

Chinese Association for Artificial Intelligence (CAAI)-Huawei MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

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4. URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24