Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection

Zhang Yon; Qing Wang; Dunwei Gong; Xianfang Song

doi:10.1016/j.patcog.2019.04.020

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Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection

Zhang Yon Qing Wang Dunwei Gong Xianfang Song

Year: 2019 Journal: Pattern Recognition Vol: 93 Pages: 337-352 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2019.04.020

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Keywords:

Discriminative model Artificial intelligence Subspace topology Pattern recognition (psychology) Computer science Feature selection Feature (linguistics) Class (philosophy) Embedding Feature learning Similarity (geometry) Machine learning Laplacian matrix Image (mathematics) Theoretical computer science

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Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection

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