Unsupervised Discriminative Feature Selection via Contrastive Graph Learning-Reference-Cited by-同舟云学术

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Unsupervised Discriminative Feature Selection via Contrastive Graph Learning

Published:2024 Issue: Volume:33 Page:972-986
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhou Qian¹,Wang Qianqian¹,Gao Quanxue¹^ORCID,Yang Ming²^ORCID,Gao Xinbo³

Affiliation:

1. State Key Laboratory of Integrated Services Networks and the School of Telecommunications Engineering, Xidian University, Xi’an, China

2. College of Mathematical Sciences, Harbin Engineering University, Heilongjiang, China

3. Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

China National Natural Science Foundation

Open Project Program of the National Laboratory of Pattern Recognition

Guangxi Key Laboratory of Digital Infrastructure

Fundamental Research Funds for Central Universities and the Innovation Fund of Xidian University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10410215.pdf?arnumber=10410215

Reference48 articles.

1. Principal Component Analysis

2. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

3. Selection of relevant features and examples in machine learning

4. Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection

5. A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

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. Self-representation with adaptive loss minimization via doubly stochastic graph regularization for robust unsupervised feature selection;International Journal of Machine Learning and Cybernetics;2024-07-06

2. Bi-Level Spectral Feature Selection;IEEE Transactions on Neural Networks and Learning Systems;2024

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