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Volumn , Issue , 2012, Pages 565-570

Learning sparse feature representations for music annotation and retrieval

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT-BASED; DATA SETS; FEATURE LEARNING; FEATURE REPRESENTATION; HIGH-DIMENSIONAL; LINEAR CLASSIFIERS; MUSIC DATA; RETRIEVAL SYSTEMS; SYSTEMIC APPROACH; UNSUPERVISED ALGORITHMS;

EID: 84873444848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (77)

References (20)
  • 3
    • 80053442434 scopus 로고    scopus 로고
    • The importance of encoding versus training with sparse coding and vector quantization
    • A. Coates and A. Ng. The importance of encoding versus training with sparse coding and vector quantization. In ICML, 2011.
    • (2011) ICML
    • Coates, A.1    Ng, A.2
  • 5
    • 84873571639 scopus 로고    scopus 로고
    • Combining content-based auto-taggers with decision-fusion
    • E. Coviello, R. Miotto, and G. Lanckriet. Combining content-based auto-taggers with decision-fusion. In ISMIR, 2011.
    • (2011) ISMIR
    • Coviello, E.1    Miotto, R.2    Lanckriet, G.3
  • 6
    • 84873602768 scopus 로고    scopus 로고
    • Audio-based music classification with a pretrained convolutional network
    • S. Dieleman, P. Brakel, and B. Schrauwen. Audio-based music classification with a pretrained convolutional network. In ISMIR, 2011.
    • (2011) ISMIR
    • Dieleman, S.1    Brakel, P.2    Schrauwen, B.3
  • 8
    • 84873592866 scopus 로고    scopus 로고
    • Semantic annotation and retrieval of music using a bag of systems representation
    • K. Ellis, E. Coviello, and G. Lanckriet. Semantic annotation and retrieval of music using a bag of systems representation. In ISMIR, 2011.
    • (2011) ISMIR
    • Ellis, K.1    Coviello, E.2    Lanckriet, G.3
  • 9
    • 84864146684 scopus 로고    scopus 로고
    • Temporal pooling and multiscale learning for automatic annotation and ranking of music audio
    • P. Hamel, S. Lemieux, Y. Bengio, and D. Eck. Temporal pooling and multiscale learning for automatic annotation and ranking of music audio. In ISMIR, 2011.
    • (2011) ISMIR
    • Hamel, P.1    Lemieux, S.2    Bengio, Y.3    Eck, D.4
  • 10
    • 84864122549 scopus 로고    scopus 로고
    • Unsupervised learning of sparse features for scalable audio classification
    • H. Henaff, K. Jarrett, K. Kavukcuoglu, and Y. LeCun. Unsupervised learning of sparse features for scalable audio classification. In ISMIR, 2011.
    • (2011) ISMIR
    • Henaff, H.1    Jarrett, K.2    Kavukcuoglu, K.3    LeCun, Y.4
  • 11
    • 84873687590 scopus 로고    scopus 로고
    • Easy as CBA: A simple probabilistic model for tagging music
    • M. Hoffman, D. Blei, and P. Cook. Easy as CBA: A simple probabilistic model for tagging music. In ISMIR, 2009.
    • (2009) ISMIR
    • Hoffman, M.1    Blei, D.2    Cook, P.3
  • 12
    • 84892457941 scopus 로고    scopus 로고
    • Input-agreement: A new mechanism for collecting data using human computation games
    • CHI. ACM
    • E. Law and L. Ahn. Input-agreement: a new mechanism for collecting data using human computation games. In Proc. Intl. Conf. on Human factors in computing systems, CHI. ACM, 2009.
    • (2009) Proc. Intl. Conf. on Human Factors in Computing Systems
    • Law, E.1    Ahn, L.2
  • 16
    • 84873578548 scopus 로고    scopus 로고
    • A classification-based polyphonic piano transcription approach using learned feature representation
    • J. Nam, J. Ngiam, H. Lee, and M. Slaney. A classification-based polyphonic piano transcription approach using learned feature representation. In ISMIR, 2011.
    • (2011) ISMIR
    • Nam, J.1    Ngiam, J.2    Lee, H.3    Slaney, M.4
  • 17
    • 84857861299 scopus 로고    scopus 로고
    • Music similarity estimation with the mean-covariance restricted boltzmann machine
    • J. Schlter and C. Osendorfer. Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine. In ICMLA, 2011.
    • (2011) ICMLA
    • Schlter, J.1    Osendorfer, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.