Tensor subspace clustering using consensus tensor low-rank representation-Reference-Cited by-同舟云学术

Tensor subspace clustering using consensus tensor low-rank representation

Published:2022-09 Issue: Volume:609 Page:46-59
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Cai Bing,Lu Gui-Fu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Subspace clustering by block diagonal representation;Lu;IEEE Trans. Pattern Anal. Mach. Intell.,2019

2. Smooth representation clustering;Hu,2014

3. C. Lu, H. Min, Z. Zhao, L. Zhu, D. shuang Huang, S. Yan, Robust and efficient subspace segmentation via least squares regression, in: ECCV, 2012.

4. Practical solutions to the problem of diagonal dominance in kernel document clustering;Greene,2006

5. Segmentation of multivariate mixed data via lossy data coding and compression;Ma;IEEE Trans. Pattern Anal. Mach. Intell.,2007

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An adaptive kernel dictionary-based low-rank representation method for subspace clustering;Neural Networks;2024-10

2. A generalized tri-factorization method for accurate matrix completion;International Journal of Machine Learning and Cybernetics;2024-08-06

3. Tensor low-rank representation combined with consistency and diversity exploration;International Journal of Machine Learning and Cybernetics;2024-06-14

4. Two-step affinity matrix learning for multi-view subspace clustering;Expert Systems with Applications;2024-05

5. Tensorized Multi-View Low-Rank Approximation Based Robust Hand-Print Recognition;IEEE Transactions on Image Processing;2024