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Volumn , Issue , 2010, Pages 5350-5353

Multi-class SVM optimization using MCE training with application to topic identification

Author keywords

MCE training; SVM classifiers; Topic identification

Indexed keywords

CLASSIFICATION (OF INFORMATION);

EID: 78049376440     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5494948     Document Type: Conference Paper
Times cited : (5)

References (16)
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    • Crammer, K.1    Singer, Y.2
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    • (2003) Computer Speech & Lang. , vol.17 , Issue.2-3 , pp. 137-152
    • Glass, J.1
  • 9
    • 51449103896 scopus 로고    scopus 로고
    • Discriminative feature weighting using MCE training for topic identification of spoken audio recordings
    • T. J. Hazen and A. Margolis, "Discriminative feature weighting using MCE training for topic identification of spoken audio recordings," in Proc. ICASSP, Las Vegas, April 2008.
    • Proc. ICASSP, Las Vegas, April 2008
    • Hazen, T.J.1    Margolis, A.2
  • 10
    • 84867211153 scopus 로고    scopus 로고
    • A hybrid SVM/MCE training approach for vector space topic identification of spoken audio recordings
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  • 12
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    • Juang, B.-H.1    Katagiri, S.2
  • 13
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    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
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    • Platt, J.1
  • 16
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    • Confidence-based techniques for rapid and robust topic identification of conversational telephone speech
    • J. Wintrode and S. Kulp, "Confidence-based techniques for rapid and robust topic identification of conversational telephone speech", in Proc. Interspeech, Brighton, England, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.