Nonnegative matrix factorization based self-taught learning with application to music genre classification

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2012, Pages

  Markov, Konstantin ^a   Matsui, Tomoko ^b  

^a UNIVERSITY OF AIZU   (Japan)

^b INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

Author keywords

Music genre classification; non negative matrix factorization; Self taught learning; Transfer learning

Indexed keywords

CLASSIFICATION RATES; LABELED AND UNLABELED DATA; LABELED DATA; LEARNING APPROACH; LEARNING METHODS; MUSIC GENRE CLASSIFICATION; NONNEGATIVE MATRIX FACTORIZATION; SELF-TAUGHT LEARNING; SEMI-SUPERVISED LEARNING; SUPERVISED CLASSIFIERS; TRANSFER LEARNING; UNLABELED DATA;

CLASSIFICATION (OF INFORMATION); SIGNAL PROCESSING; SUPERVISED LEARNING;

FACTORIZATION;

EID: 84870669969     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2012.6349719     Document Type: Conference Paper

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