Distribution Consistency based Fast Anchor Imputation for Incomplete Multi-view Clustering-Reference-Cited by-同舟云学术

Distribution Consistency based Fast Anchor Imputation for Incomplete Multi-view Clustering

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
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Author:

Li Xingfeng¹^ORCID,Sun Yinghui¹^ORCID,Sun Quansen¹^ORCID,Dai Jia²^ORCID,Ren Zhenwen³^ORCID

Affiliation:

1. Nanjing University of Science and Technology, Nanjing, China

2. Beijing Institute of Technology, Beijing, China

3. Southwest University of Science and Technology & Wuzhou University, Mianyang, Wuzhou, China

Funder

Grant from Guangxi Key Laboratory of Machine Vision and Intelligent Control

Postgraduate Research & Practice Innovation Program of Jiangsu Province

National Natural Science Foundation of China

Open Research Fund of Anhui Province Key Laboratory of Machine Vision Inspection

Base Strengthening Program of National Defense Science and Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612483

Reference46 articles.

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2. Efficient Orthogonal Multi-view Subspace Clustering

3. Man-Sheng Chen , Chang-Dong Wang , and Jian-Huang Lai . 2022b. Low-rank Tensor Based Proximity Learning for Multi-view Clustering . IEEE Transactions on Knowledge and Data Engineering ( 2022 ). Man-Sheng Chen, Chang-Dong Wang, and Jian-Huang Lai. 2022b. Low-rank Tensor Based Proximity Learning for Multi-view Clustering. IEEE Transactions on Knowledge and Data Engineering (2022).

4. Zhe Chen , Xiao-Jun Wu , Tianyang Xu , and Josef Kittler . 2023 c. Fast Self-guided Multi-view Subspace Clustering . IEEE Transactions on Image Processing ( 2023 ). Zhe Chen, Xiao-Jun Wu, Tianyang Xu, and Josef Kittler. 2023 c. Fast Self-guided Multi-view Subspace Clustering. IEEE Transactions on Image Processing (2023).

5. AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing