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Volumn , Issue , 2009, Pages 1750-1751

Music retrieval based on a multi-samples selection strategy for support vector machine active learning

Author keywords

Active learning; Music retrieval; Relevance feedback; Selection strategy; Support vector machine

Indexed keywords

ACTIVE LEARNING; FEATURE SPACE; MULTI-SAMPLES; MULTIPLE SAMPLES; MUSIC GENRE; MUSIC RETRIEVAL; MUSIC RETRIEVAL SYSTEMS; RELEVANCE FEEDBACK;

EID: 72949121003     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1529282.1529675     Document Type: Conference Paper
Times cited : (1)

References (8)
  • 2
    • 72949116034 scopus 로고    scopus 로고
    • C. Chang and C. Lin. LIBSVM : a library for support vector machines. http://www.csie.ntu.edu.tw/cjlin/libsvm, 2001.
    • C. Chang and C. Lin. LIBSVM : a library for support vector machines. http://www.csie.ntu.edu.tw/cjlin/libsvm, 2001.
  • 5
    • 33746916789 scopus 로고    scopus 로고
    • Support vector machine active learning for music retrieval
    • M. Mandel, G. Poliner, and D. Ellis. Support vector machine active learning for music retrieval. Multimedia systems, 12(1):3-13, 2006.
    • (2006) Multimedia systems , vol.12 , Issue.1 , pp. 3-13
    • Mandel, M.1    Poliner, G.2    Ellis, D.3
  • 8
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with application to text classification
    • S. Tong and D. Koller. Support vector machine active learning with application to text classification. Journal of machine learning research, pages 45-66, 2001.
    • (2001) Journal of machine learning research , pp. 45-66
    • Tong, S.1    Koller, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.