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Volumn , Issue , 2012, Pages 139-144

Unsupervised learning of local features for music classification

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SIGNAL; CLASSIFICATION ACCURACY; DATA SETS; DIMENSIONALITY REDUCTION; FAST LEARNING; FEATURE LEARNING; K-MEANS; K-MEANS CLUSTERING; LINEAR SVM; LOCAL FEATURE; MUSIC CLASSIFICATION; OVERCOMPLETE DICTIONARIES; PATCH DIMENSIONS; TIME FREQUENCY;

EID: 84873465585     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (14)
  • 2
    • 84873607146 scopus 로고    scopus 로고
    • Music genre classification via compressive sampling
    • International Society for Music Information Retrieval
    • Kaichun K. Chang, Jyh-Shing Roger Jang, and Costas S. Iliopoulos. Music genre classification via compressive sampling. In ISMIR, pages 387-392. International Society for Music Information Retrieval, 2010.
    • (2010) ISMIR , pp. 387-392
    • Chang, K.K.1    Roger Jang, J.-S.2    Iliopoulos, C.S.3
  • 7
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • Aapo Hyvärinen and Erkki Oja. Independent component analysis: algorithms and applications. Neural networks, 13(4-5):411-30, 2000.
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 8
    • 84863380535 scopus 로고    scopus 로고
    • Unsupervised feature learning for audio classification using convolutional deep belief networks
    • Honglak Lee, Yan Largman, Peter Pham, and Andrew Y. Ng. Unsupervised feature learning for audio classification using convolutional deep belief networks. In Advances in Neural Information Processing Systems 22, pages 1096-1104, 2009.
    • (2009) Advances in Neural Information Processing Systems 22 , pp. 1096-1104
    • Lee, H.1    Largman, Y.2    Pham, P.3    Ng, A.Y.4
  • 9
    • 84873668627 scopus 로고    scopus 로고
    • Music genre classification using locality preserving non-negative tensor factorization and sparse representations
    • International Society for Music Information Retrieval
    • Yannis Panagakis, Constantine Kotropoulos, and Gonzalo R. Arce. Music genre classification using locality preserving non-negative tensor factorization and sparse representations. In ISMIR, pages 249-254. International Society for Music Information Retrieval, 2009.
    • (2009) ISMIR , pp. 249-254
    • Panagakis, Y.1    Kotropoulos, C.2    Arce, G.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.