Multi-label feature selection via robust flexible sparse regularization

Yonghao Li; Liang Hu; Wanfu Gao

doi:10.1016/j.patcog.2022.109074

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Multi-label feature selection via robust flexible sparse regularization

Yonghao Li Liang Hu Wanfu Gao

Year: 2022 Journal: Pattern Recognition Vol: 134 Pages: 109074-109074 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2022.109074

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Keywords:

Feature selection Discriminative model Norm (philosophy) Computer science Redundancy (engineering) Pattern recognition (psychology) Minimum redundancy feature selection Artificial intelligence Regularization (linguistics) Benchmark (surveying) Machine learning Algorithm Data mining

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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

Multi-label feature selection via robust flexible sparse regularization

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