Deep image clustering by fusing contrastive learning and neighbor relation mining-Reference-Cited by-同舟云学术

Deep image clustering by fusing contrastive learning and neighbor relation mining

Published:2022-02 Issue: Volume:238 Page:107967
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Xu Chaoyang^ORCID,Lin Renjie,Cai Jinyu,Wang Shiping

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference53 articles.

1. Reducing the dimensionality of data with neural networks;Hinton;Science,2006

2. B. Yang, X. Fu, N.D. Sidiropoulos, M. Hong, Towards k-means-friendly spaces: Simultaneous deep learning and clustering, in: Proceedings of the 34th International Conference on Machine Learning, 2017, pp. 3861–3870.

3. Robust co-clustering via dual local learning and high-order matrix factorization;Wang;Knowl.-Based Syst.,2017

4. On mutual information maximization for representation learning;Tschannen,2019

5. N. Dalal, B. Triggs, Histograms of oriented gradients for human detection, in: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, pp. 886–893.

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