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Volumn 12, Issue 4, 2008, Pages 425-440

Using string kernels to identify famous performers from their playing style

Author keywords

Music; Partial least squares; String kernel; Support vector machine

Indexed keywords


EID: 51149107179     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/ida-2008-12408     Document Type: Article
Times cited : (14)

References (17)
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  • 2
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    • Grindlay, G.1    Helmbold, D.2
  • 7
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    • Kernel partial least squares regression in reproducing kernel hilbert space
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    • Rosipal, R.1    Trejo, L.2
  • 9
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    • C. Saunders, D. Hardoon, J. Shawe-Taylor and G. Widmer, Using string kernels to identify famous performers from their playing style, in: Proceedings of the l5th european conference on machine learning (ecml) and the 8th european conference on principles and practice of knowledge discovery in databases (pkdd), (3201), J.-F. Boulicaut, F. Esposito, F. Giannotti and D. Pedreschi, eds, Springer-Verlag Heidelberg, September 2004, pp. 384-399.
    • C. Saunders, D. Hardoon, J. Shawe-Taylor and G. Widmer, Using string kernels to identify famous performers from their playing style, in: Proceedings of the l5th european conference on machine learning (ecml) and the 8th european conference on principles and practice of knowledge discovery in databases (pkdd), (Vol. 3201), J.-F. Boulicaut, F. Esposito, F. Giannotti and D. Pedreschi, eds, Springer-Verlag Heidelberg, September 2004, pp. 384-399.
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    • Automatic Identification of Music Performers with Learning Ensembles
    • E. Stamatatos and G. Widmer, Automatic Identification of Music Performers with Learning Ensembles, Artificial Intelligence 165 (1) (2005), 37-56.
    • (2005) Artificial Intelligence , vol.165 , Issue.1 , pp. 37-56
    • Stamatatos, E.1    Widmer, G.2
  • 12
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    • J. Sturm, Using sedumi 1.02, a matlab toolbox for optimization over symmetric cones, Optimization Methods and Software 11(12) (1999), 625-653. (Special issue on Interior Point Methods).
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.