Feature extraction using constrained approximation and suppression

IEEE Transactions on Neural Networks

Volumn 21, Issue 2, 2010, Pages 201-210

  Washizawa, Yoshikazu ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Class feature information compression (CLAFIC); Feature extraction; Least squares approximation; Rank reduction; Regularization; Subspace methods

Indexed keywords

BINARY CLASSIFIERS; CLASS FEATURE INFORMATION COMPRESSION (CLAFIC); CONSTRAINED APPROXIMATION; CONVENTIONAL CLASSIFIER; DETECTION PROBLEMS; FEATURE INFORMATION; ONE-CLASS CLASSIFIER; PATTERN CLASSIFICATION; RANK REDUCTION; SUB-SPACE METHODS;

CLASSIFIERS; LEAST SQUARES APPROXIMATIONS;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; FACTUAL DATABASE; REPRODUCIBILITY;

ALGORITHMS; DATABASES, FACTUAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 76749105659     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2009.2034852     Document Type: Article

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