Minimum-maximum local structure information for feature selection

Pattern Recognition Letters

Volumn 34, Issue 5, 2013, Pages 527-535

  Hu, Wenjun ^a,b,c   Choi, Kup Sze ^c   Gu, Yonggen ^a   Wang, Shitong ^b  

^a HUZHOU UNIVERSITY   (China)

^b JIANGNAN UNIVERSITY   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Feature selection; Laplacian Eigenmap; Laplacian Score; Locality preserving; Manifold learning

Indexed keywords

CLASS INFORMATION; CLASSIFICATION AND CLUSTERING; DISCRIMINATING POWER; FEATURE SELECTION METHODS; LAPLACIANS; LOCAL STRUCTURE; LOCALITY PRESERVING; LOW-DIMENSIONAL MANIFOLDS; MANIFOLD LEARNING; MANIFOLD STRUCTURES; SELECTION TECHNIQUES;

DATA STRUCTURES; FEATURE EXTRACTION; LAPLACE TRANSFORMS;

COMPUTER VISION;

EID: 84873844417     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2012.11.012     Document Type: Article

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