Constructing sparse kernel machines using attractors

IEEE Transactions on Neural Networks

Volumn 20, Issue 4, 2009, Pages 721-729

  Lee, Daewon ^a   Jung, Kyu Hwan ^b   Lee, Jaewook ^b  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Attractors; Dynamical systems; Kernel method; Sparse kernel machines; Support vector domain description (SVDD); Support vector machine (SVM)

Indexed keywords

ATTRACTORS; KERNEL METHOD; SPARSE KERNEL MACHINES; SUPPORT VECTOR DOMAIN DESCRIPTION (SVDD); SUPPORT VECTOR MACHINE (SVM);

IMAGE CLASSIFICATION; IMAGE RETRIEVAL; SUPPORT VECTOR MACHINES; VECTORS;

DYNAMICAL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; PATTERN RECOGNITION, AUTOMATED;

EID: 65149096404     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2009.2014059     Document Type: Article

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