High-level attributes modeling for indoor scenes classification

Neurocomputing

Volumn 121, Issue , 2013, Pages 337-343

  Wang, Chaojie ^a   Yu, Jun ^a   Tao, Dapeng ^b  

^a XIAMEN UNIVERSITY   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Attribute; Feature selection; Hypergraph learning; Indoor; Scene classification; Semantic

Indexed keywords

ATTRIBUTE; CURSE OF DIMENSIONALITY; FEATURE SELECTION METHODS; HYPERGRAPH; IMAGE REPRESENTATIONS; IMAGES CLASSIFICATION; INDOOR; SCENE CLASSIFICATION;

FEATURE EXTRACTION; REGRESSION ANALYSIS;

SEMANTICS;

ANALYTIC METHOD; ARTICLE; COMPUTER INTERFACE; CONCEPTUAL FRAMEWORK; ENTROPY; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RETRIEVAL; INDOOR SCENE CLASSIFICATION; LEARNING; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROBABILITY; RECOGNITION; SEMANTICS;

EID: 84884164808     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.05.032     Document Type: Article

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