Incremental GRLVQ: Learning relevant features for 3D object recognition

Neurocomputing

Volumn 71, Issue 13-15, 2008, Pages 2868-2879

  Kierzmann, Tim C ^a   Lange, Sascha ^a   Riedmiller, Martin ^a  

^a UNIVERSITY OF OSNABRÜCK   (Germany)

Author keywords

Adaptive metric; Feature selection; Incremental learning vector quantization; Object recognition; Relevance learning

Indexed keywords

FEATURE EXTRACTION; VECTOR QUANTIZATION;

3D OBJECT RECOGNITION; ADAPTIVE METRIC; GENERALIZED RELEVANCE LEARNING VECTOR QUANTIZATIONS; HIGH-DIMENSIONAL; INCREMENTAL LEARNING VECTOR QUANTIZATION; RECOGNITION ACCURACY; RELEVANCE LEARNING; RELEVANT FEATURES;

OBJECT RECOGNITION;

ACCURACY; ARTICLE; COMPUTER SYSTEM; CONTROLLED STUDY; DATA ANALYSIS; DATA BASE; GENERALIZED RELEVANCE LEARNING VECTOR QUANTIZATION; LEARNING; MACHINE LEARNING; PATTERN RECOGNITION; PRIORITY JOURNAL; VISUAL STIMULATION;

EID: 56449127256     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.08.018     Document Type: Article

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