Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering-Reference-Cited by-同舟云学术

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Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Wen Jie¹,Liu Chengliang¹,Xu Gehui¹,Wu Zhihao¹,Huang Chao²,Fei Lunke³,Xu Yong¹

Affiliation:

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

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

3. School of Computer Science and Technology, Guangdong University of Technology,Guangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204678.pdf?arnumber=10204678

Reference48 articles.

1. Doubly Aligned Incomplete Multi-view Clustering

2. Robust subspace clustering for multi-view data by exploiting correlation consensus;wang;IEEE Transactions on Image Processing,2015

3. Deep Residual Learning for Image Recognition

4. Spectral Perturbation Meets Incomplete Multi-view Data

5. Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview

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1. Incomplete multi-view clustering via confidence graph completion based tensor decomposition;Expert Systems with Applications;2024-12

2. Deep embedding based tensor incomplete multi-view clustering;Digital Signal Processing;2024-08

3. Incomplete Multi-View Clustering Via Inference and Evaluation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Incomplete multi-view learning: Review, analysis, and prospects;Applied Soft Computing;2024-03

5. Confidence Graph Learning for Incomplete Multi-View Clustering;Proceedings of the International Conference on Computer Vision and Deep Learning;2024-01-19

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