Multi-view hypergraph learning by patch alignment framework

Neurocomputing

Volumn 118, Issue , 2013, Pages 79-86

  Hong, Chaoqun ^a   Yu, Jun ^b   Li, Jonathan ^b   Chen, Xuhui ^a  

^a XIAMEN UNIVERSITY OF TECHNOLOGY   (China)

^b XIAMEN UNIVERSITY   (China)

Author keywords

Dimensionality reduction; Hypergraph; Multi view learning; Patch alignment framework

Indexed keywords

DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; EIGEN DECOMPOSITION; GRAPH-BASED METHODS; HYPERGRAPH; MULTI-VIEW LEARNING; PATCH ALIGNMENT FRAMEWORK; RETRIEVAL PERFORMANCE;

MATRIX ALGEBRA;

ALIGNMENT;

ACCURACY; ARTICLE; IMAGE ANALYSIS; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MACHINE LEARNING; MATHEMATICAL MODEL; MULTIFACTOR DIMENSIONALITY REDUCTION; MULTIVIEW HYPERGRAPH LEARNING; PATCH ALIGNMENT FRAMEWORK; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; STATISTICAL ANALYSIS; VALIDATION PROCESS;

EID: 84881235511     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.02.017     Document Type: Article

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