Unsupervised Feature Selection via Collaborative Embedding Learning-Reference-Cited by-同舟云学术

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Unsupervised Feature Selection via Collaborative Embedding Learning

Published:2024-06 Issue:3 Volume:8 Page:2529-2540
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Li Junyu¹^ORCID,Qi Fei¹^ORCID,Sun Xin¹^ORCID,Zhang Bin²^ORCID,Xu Xiangmin³^ORCID,Cai Hongmin¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology, Guangdong, China

2. Guangdong Institute of Intelligence Science and Technology, Zhuhai, China

3. School of Future Technology, South China University of Technology, Guangzhou, Guangdong, China

Funder

Science and Technology Project of Guangdong Province

National Key Research and Development Program of China

National Natural Science Foundation of China

Key-Area Research and Development Program of Guangzhou City

Guangdong Key Laboratory of Human Digital Twin Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10538459/10464377.pdf?arnumber=10464377

Reference44 articles.

1. Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection

2. Adaptive Unsupervised Feature Selection With Structure Regularization

3. Robust Discriminant Regression for Feature Extraction

4. Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination

5. A randomized controlled trial for response of microbiome network to exercise and diet intervention in patients with nonalcoholic fatty liver disease

Cited by 2 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. Unsupervised feature selection based on bipartite graph and low-redundant regularization;Knowledge-Based Systems;2024-10

2. Additive cosine margin for unsupervised softmax embedding;Journal of Electronic Imaging;2024-08-23

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