Adaptive classifier construction: An approach to handwritten digit recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2475, Issue , 2002, Pages 578-585

  Nguyen, Tuan Trung ^a  

^a POLISH JAPANESE INSTITUTE OF INFORMATION TECHNOLOGY   (Poland)

Author keywords

Clustering; Decision support systems; Handwritten digit recognition; Machine learning; Pattern recognition

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; DECISION SUPPORT SYSTEMS; ITERATIVE METHODS; LEARNING SYSTEMS; OPTICAL CHARACTER RECOGNITION; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; ROUGH SET THEORY;

ADAPTIVE CLASSIFIERS; CLUSTERING; COMPUTER EXPERIMENT; DECISION-MAKING PROBLEM; DISSIMILARITY MEASURES; HANDWRITTEN DIGIT RECOGNITION; MULTI-LEVEL CLASSIFIERS; OPTICAL CHARACTER RECOGNITION (OCR);

CLASSIFICATION (OF INFORMATION);

EID: 84942859386     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45813-1_77     Document Type: Conference Paper

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