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Volumn , Issue , 2009, Pages 3499-3504

Novel top-down approaches for hierarchical classification and their application to automatic music genre classification

Author keywords

Hierarchical classification; Music genre classification

Indexed keywords

FEATURE SETS; HIERARCHICAL CLASSIFICATION; HIERARCHICAL METHOD; MUSIC GENRE CLASSIFICATION; TOP-DOWN APPROACH; TOPDOWN; TRAINING PHASE;

EID: 74849105551     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346776     Document Type: Conference Paper
Times cited : (41)

References (31)
  • 1
    • 0032317010 scopus 로고    scopus 로고
    • Rule-based text categorization using hierarchical categories
    • Man, and Cybernetics
    • M. Sasaki and K. Kita, "Rule-based text categorization using hierarchical categories," in Proc. of IEEE Int. Conf. on Systems, Man, and Cybernetics, 1998, pp. 2827-2830.
    • (1998) Proc. of IEEE Int. Conf. on Systems , pp. 2827-2830
    • Sasaki, M.1    Kita, K.2
  • 6
    • 33645323768 scopus 로고    scopus 로고
    • Hierarchical multi-label prediction of gene function
    • Z. Barutcuoglu, R. E. Schapire, and O. G. Troyanskaya, "Hierarchical multi-label prediction of gene function," Systems Biology, vol. 22, pp. 830-836, 2006.
    • (2006) Systems Biology , vol.22 , pp. 830-836
    • Barutcuoglu, Z.1    Schapire, R.E.2    Troyanskaya, O.G.3
  • 7
    • 84943242305 scopus 로고    scopus 로고
    • A. Clare and R. D. King, Knowledge discovery in multi-label phenotype data, in 5th European Conf. on Principles of Data Mining and Knowledge Discovery, ser. Lecture Notes in Computer Science, L. De Raedt and A. Siebes, Eds., 2168. Springer, 2001, pp. 42-53.
    • A. Clare and R. D. King, "Knowledge discovery in multi-label phenotype data," in 5th European Conf. on Principles of Data Mining and Knowledge Discovery, ser. Lecture Notes in Computer Science, L. De Raedt and A. Siebes, Eds., vol. 2168. Springer, 2001, pp. 42-53.
  • 8
    • 47349119336 scopus 로고    scopus 로고
    • Improving the performance of hierarchical classification with swarm intelligence
    • Proc. 6th European Conf. on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics EvoBio-2008, Springer
    • N. Holden and A. A. Freitas, "Improving the performance of hierarchical classification with swarm intelligence," in Proc. 6th European Conf. on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBio-2008), ser. Lecture Notes in Computer Science, vol. 4973. Springer, 2008, pp. 48-60.
    • (2008) ser. Lecture Notes in Computer Science , vol.4973 , pp. 48-60
    • Holden, N.1    Freitas, A.A.2
  • 13
    • 47349114079 scopus 로고    scopus 로고
    • An experimental comparison of classification algorithms for the hierarchical prediction of protein function
    • A. Secker, M. Davies, A. Freitas, J. Timmis, M. Mendao, and D. Flower, "An experimental comparison of classification algorithms for the hierarchical prediction of protein function," Expert Update (the BCS-SGAI Magazine), vol. 9, no. 3, pp. 17-22, 2007.
    • (2007) Expert Update (the BCS-SGAI Magazine) , vol.9 , Issue.3 , pp. 17-22
    • Secker, A.1    Davies, M.2    Freitas, A.3    Timmis, J.4    Mendao, M.5    Flower, D.6
  • 15
    • 74849110369 scopus 로고    scopus 로고
    • A. A. Freitas and A. C. P. L. F. de Carvalho, Research and Trends in Data Mining Technologies and Applications. Idea Group, 2007, ch. A Tutorial on Hierarchical Classification with Applications in Bioinformatics, pp. 175-208.
    • A. A. Freitas and A. C. P. L. F. de Carvalho, Research and Trends in Data Mining Technologies and Applications. Idea Group, 2007, ch. A Tutorial on Hierarchical Classification with Applications in Bioinformatics, pp. 175-208.
  • 16
    • 33745780918 scopus 로고    scopus 로고
    • A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data
    • N. Holden and A. A. Freitas, "A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data," in Proc. of the IEEE Swarm Intelligence Symposium, 2005, pp. 100-107.
    • (2005) Proc. of the IEEE Swarm Intelligence Symposium , pp. 100-107
    • Holden, N.1    Freitas, A.A.2
  • 21
    • 70350625330 scopus 로고    scopus 로고
    • Combination of audio and lyrics features for genre classification in digital audio collections
    • R. Mayer, R. Neumayer, and A. Rauber, "Combination of audio and lyrics features for genre classification in digital audio collections," in Proc. of the ACM 16th Int. Conf. on Multimedia, 2008, pp. 159-168.
    • (2008) Proc. of the ACM 16th Int. Conf. on Multimedia , pp. 159-168
    • Mayer, R.1    Neumayer, R.2    Rauber, A.3
  • 25
    • 40949155138 scopus 로고    scopus 로고
    • Automatic music genre classification using ensemble of classifiers
    • Man, and Cybernetics
    • C. N. Silla Jr., C. A. A. Kaestner, and A. L. Koerich, "Automatic music genre classification using ensemble of classifiers," in Proc. of the IEEE Int. Conf. on Systems, Man, and Cybernetics, 2007, pp. 1687-1692.
    • (2007) Proc. of the IEEE Int. Conf. on Systems , pp. 1687-1692
    • Silla Jr., C.N.1    Kaestner, C.A.A.2    Koerich, A.L.3
  • 28
  • 29
    • 84873536955 scopus 로고    scopus 로고
    • Evaluation of feature extractors and psycho-acoustic transformations for music genre classification
    • T. Lidy and A. Rauber, "Evaluation of feature extractors and psycho-acoustic transformations for music genre classification," in Proc. of the 6th Int. Conf. on Music Information Retrieval, 2005, pp. 11-15.
    • (2005) Proc. of the 6th Int. Conf. on Music Information Retrieval , pp. 11-15
    • Lidy, T.1    Rauber, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.