Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning

Razieh Sheikhpour; Mehrnoush Mohammadi; Kamal Berahmand; Farid Saberi-Movahed; Hassan Khosravi

doi:10.1016/j.ins.2024.121800

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Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning

Razieh Sheikhpour Mehrnoush Mohammadi Kamal Berahmand Farid Saberi-Movahed Hassan Khosravi

Year: 2024 Journal: Information Sciences Vol: 699 Pages: 121800-121800 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2024.121800

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Keywords:

Subspace topology Computer science Artificial intelligence Pattern recognition (psychology) Feature selection Selection (genetic algorithm) Manifold alignment Manifold (fluid mechanics) Nonlinear dimensionality reduction Machine learning Semi-supervised learning Feature (linguistics) Dimensionality reduction

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning

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