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Volumn 3523, Issue II, 2005, Pages 649-657

A text categorization approach for music style recognition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; INFORMATION RETRIEVAL; PATTERN RECOGNITION; STATISTICAL METHODS;

EID: 25144500970     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11492542_79     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 4
    • 25144513227 scopus 로고    scopus 로고
    • Musical style identification using grammatical inference: The encoding problem
    • Sanfeliu, A., Ruiz-Shulcloper, J., eds.
    • Cruz, P.P., Vidal, E., Pérez-Cortes, J.C.: Musical style identification using grammatical inference: The encoding problem. In Sanfeliu, A., Ruiz-Shulcloper, J., eds.: Proc. of CIARP 2003. (2003) 375-382
    • (2003) Proc. of CIARP 2003 , pp. 375-382
    • Cruz, P.P.1    Vidal, E.2    Pérez-Cortes, J.C.3
  • 5
    • 12344258737 scopus 로고    scopus 로고
    • Feature-driven recognition of music styles
    • 1st Iberian Conference on Pattern Recognition and Image Analysis.
    • Ponce de León, P.J., Iñesta, J.M.: Feature-driven recognition of music styles. In: 1st Iberian Conference on Pattern Recognition and Image Analysis. LNCS, 2652. (2003) 773-781
    • (2003) LNCS , vol.2652 , pp. 773-781
    • Ponce De León, P.J.1    Iñesta, J.M.2
  • 6
    • 25144447915 scopus 로고    scopus 로고
    • Automatic genre classification using large high-level musical feature sets
    • McKay, C., Fujinaga, I.: Automatic genre classification using large high-level musical feature sets. In: Int. C. Music Information Retrieval, ISMIR'04. (2004) 525-530
    • (2004) Int. C. Music Information Retrieval, ISMIR'04 , pp. 525-530
    • McKay, C.1    Fujinaga, I.2
  • 9
    • 0031269184 scopus 로고    scopus 로고
    • Beyond independence: Conditions for the optimality of simple bayesian classifier
    • Domingos, P., Pazzani, M.: Beyond independence: conditions for the optimality of simple bayesian classifier. Machine Learning 29 (1997) 103-130
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 10
    • 84860045405 scopus 로고    scopus 로고
    • Text document classification using finite mixtures
    • Academy of Sciences of the Czech Republic, Institute of Information Theory and Automation
    • Novovičová, J., Malík, A.: Text document classification using finite mixtures. Technical Report 2063, Academy of Sciences of the Czech Republic, Institute of Information Theory and Automation (2002)
    • (2002) Technical Report , vol.2063
    • Novovičová, J.1    Malík, A.2
  • 12
    • 0036887599 scopus 로고    scopus 로고
    • On the use of Bernoulli mixture models for text classification
    • Juan, A., Vidal, E.: On the use of Bernoulli mixture models for text classification. Pattern Recognition 35 (2002) 2705-2710
    • (2002) Pattern Recognition , vol.35 , pp. 2705-2710
    • Juan, A.1    Vidal, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.