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Volumn , Issue , 2013, Pages

Deep content-based music recommendation

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; NEURAL NETWORKS; SEMANTICS;

EID: 84898973716     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1150)

References (29)
  • 11
    • 84863380535 scopus 로고    scopus 로고
    • Unsupervised feature learning for audio classification using convolutional deep belief networks
    • Honglak Lee, Peter Pham, Yan Largman, and Andrew Ng. Unsupervised feature learning for audio classification using convolutional deep belief networks. In Advances in Neural Information Processing Systems 22. 2009.
    • (2009) Advances in Neural Information Processing Systems , vol.22
    • Lee, H.1    Pham, P.2    Largman, Y.3    Ng, A.4
  • 18
    • 84898956446 scopus 로고    scopus 로고
    • Large-scale music annotation and retrieval: Learning to rank in joint semantic spaces
    • Jason Weston, Samy Bengio, and Philippe Hamel. Large-scale music annotation and retrieval: Learning to rank in joint semantic spaces. Journal of New Music Research, 2011.
    • (2011) Journal of New Music Research
    • Weston, J.1    Bengio, S.2    Hamel, P.3
  • 19
    • 57649180845 scopus 로고    scopus 로고
    • Content-based retrieval of music and audio
    • International Society for Optics and Photonics
    • Jonathan T Foote. Content-based retrieval of music and audio. In Voice, Video, and Data Communications, pages 138-147. International Society for Optics and Photonics, 1997.
    • (1997) Voice, Video, and Data Communications , pp. 138-147
    • Foote, J.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.