Multiple descent cost competition: Restorable self-organization and multimedia information processing

IEEE Transactions on Neural Networks

Volumn 9, Issue 1, 1998, Pages 106-122

  Matsuyama, Yasuo ^a,b,c  

^a IEEE   (Japan)

^b WASEDA UNIVERSITY   (Japan)

^c Sympat Committee of the RWC Partnership of Japan ^*  (Japan)

Author keywords

Competitive learning; Coordination with external intelligence; Data compression; Grouping feature map; Image processing; Multiple descent cost; Self organization; Standard pattern set; Vector quantization; Virtual movie generation

Indexed keywords

ANIMATION; ARTIFICIAL INTELLIGENCE; DATA COMPRESSION; FEATURE EXTRACTION; IMAGE RECONSTRUCTION; INTERACTIVE COMPUTER SYSTEMS; LEARNING ALGORITHMS; VECTOR QUANTIZATION; VIRTUAL REALITY;

GROUPING FEATURE MAPS; MULTIMEDIA INFORMATION PROCESSING; MULTIPLE DESCENT COST COMPETITION; SELF ORGANIZING FEATURE MAPS; VIRTUAL MOVIE GENERATION;

LEARNING SYSTEMS;

EID: 0031646494     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.655033     Document Type: Article

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