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Volumn 2, Issue , 2006, Pages 564-568

A novel SVM geometric algorithm based on reduced convex hulls

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LEARNING SYSTEMS; NONLINEAR SYSTEMS; OPTIMIZATION; PATTERN RECOGNITION; PROBLEM SOLVING;

EID: 34047196763     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.143     Document Type: Conference Paper
Times cited : (24)

References (18)
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  • 4
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    • Fast training of support vector machines using sequential minimal optimization
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    • (1999) Advances in Kernel Methods Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 6
    • 0006456134 scopus 로고    scopus 로고
    • Geometry in Learning
    • C. Gorini, E. Hart, W. Meyer and T. Phillips, editors, Mathematical Association of America
    • K. P. Bennett, E. J. Bredensteiner "Geometry in Learning" in C. Gorini, E. Hart, W. Meyer and T. Phillips, editors, Geometry at Work, Mathematical Association of America, 1998.
    • (1998) Geometry at Work
    • Bennett, K.P.1    Bredensteiner, E.J.2
  • 7
    • 84898984811 scopus 로고    scopus 로고
    • A geometric interpretation of v-SVM classifiers
    • D. J. Crisp, C. J. C. Burges "A geometric interpretation of v-SVM classifiers" NIPS 12, 2000, pp. 244-250.
    • (2000) NIPS , vol.12 , pp. 244-250
    • Crisp, D.J.1    Burges, C.J.C.2
  • 8
    • 34047206824 scopus 로고    scopus 로고
    • A geometric approach to Support Vector Machine (SVM) classification
    • to appear in, also available from
    • M. Mavroforakis, S. Theodoridis "A geometric approach to Support Vector Machine (SVM) classification", to appear in IEEE Transactions on Neural Networks, also available from http://cgi.di.uoa.gr/~idsp.
    • IEEE Transactions on Neural Networks
    • Mavroforakis, M.1    Theodoridis, S.2
  • 9
    • 34047193334 scopus 로고    scopus 로고
    • S. S. Keerthi, S. K. Shevade, C. Bhattacharyya, K. R. K. Murthy A fast iterative nearest point algorithm for support vector machine classifier design, Technical Report No. TRISL-99-03, Department of CSA, IISc, Bangalore, India, 1999.
    • S. S. Keerthi, S. K. Shevade, C. Bhattacharyya, K. R. K. Murthy "A fast iterative nearest point algorithm for support vector machine classifier design", Technical Report No. TRISL-99-03, Department of CSA, IISc, Bangalore, India, 1999.
  • 10
    • 0038647819 scopus 로고    scopus 로고
    • An iterative algorithm learning the maximal margin classifier
    • V. Franc, V. Hlaváč "An iterative algorithm learning the maximal margin classifier", Pattern Recognition 36, 2003, pp. 1985-1996.
    • (2003) Pattern Recognition , vol.36 , pp. 1985-1996
    • Franc, V.1    Hlaváč, V.2
  • 11
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    • Support vector neural networks: The kernel adatron with bias and soft margin
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    • (1998)
    • Friess, T.T.1    Harisson, R.2
  • 12
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    • Minimizing the quadratic form on a convex set
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  • 14
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    • Support Vector Machine (SVM) Classification through Geometry
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    • M. Mavroforakis, and S. Theodoridis, "Support Vector Machine (SVM) Classification through Geometry", Proceedings of EUSIPCO 2005, Antalya, Turkey, also available from http://cgi.di.uoa.gr/~idsp.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.