Manifold-based constraint Laplacian score for multi-label feature selection

•Using manifold learning to transform original logical label space to Euclidean label space.•The similarity between samples is constrained by the similarity of corresponding numerical labels.•The final selection criterion integrates the influence of both the supervision information and local propert...

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Veröffentlicht in:	Pattern recognition letters 2018-09, Vol.112, p.346-352
Hauptverfasser:	Huang, Rui, Jiang, Weidong, Sun, Guangling
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Data processing Euclidean geometry Image processing systems Learning Machine learning Manifolds (mathematics) Optimization
Online-Zugang:	Volltext
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