Adaptive graph learning for semi-supervised feature selection with redundancy minimization

Jingliu Lai; Hongmei Chen; Tianrui Li; Xiaoling Yang

doi:10.1016/j.ins.2022.07.102

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Adaptive graph learning for semi-supervised feature selection with redundancy minimization

Jingliu Lai Hongmei Chen Tianrui Li Xiaoling Yang

Year: 2022 Journal: Information Sciences Vol: 609 Pages: 465-488 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2022.07.102

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Keywords:

Feature selection Computer science Artificial intelligence Pattern recognition (psychology) Redundancy (engineering) Graph Outlier Machine learning Theoretical computer science

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

Adaptive graph learning for semi-supervised feature selection with redundancy minimization

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