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Volumn 2006, Issue , 2006, Pages 674-679

Clustering based large margin classification: A scalable approach using SOCP formulation

Author keywords

BIRCH; Gaussian Mixture Models; Large margin classification; Scalability

Indexed keywords

CLUSTERING ALGORITHMS; GAUSSIAN MIXTURE MODELS; LARGE MARGIN CLASSIFICATION; SECOND ORDER CONE PROGRAMMING (SOCP);

EID: 33749566771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (17)
  • 3
    • 33646748885 scopus 로고    scopus 로고
    • Second order cone programming formulations for feature selection
    • C. Bhattacharyya. Second order cone programming formulations for feature selection. Journal of Machine Learning Research, 5:1417-1433, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1417-1433
    • Bhattacharyya, C.1
  • 4
    • 33745779142 scopus 로고    scopus 로고
    • A second order cone programming formulation for classifying missing data
    • C. Bhattacharyya, P. K. Shivaswamy, and A. J. Smola. A second order cone programming formulation for classifying missing data. In NIPS, 2004.
    • (2004) NIPS
    • Bhattacharyya, C.1    Shivaswamy, P.K.2    Smola, A.J.3
  • 11
    • 0001500115 scopus 로고
    • Functions of positive and negative type and their connection with the theory of integral equations
    • J. Mercer. Functions of positive and negative type and their connection with the theory of integral equations. Philosophical Transactions of the Royal Society, London, A 209:415-446, 1909.
    • (1909) Philosophical Transactions of the Royal Society, London, A , vol.209 , pp. 415-446
    • Mercer, J.1
  • 13
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Cambridge, MA
    • J. Platt. Fast training of support vector machines using sequential minimal optimization. In Advances in Kernel Methods-Support Vector Learning, pages 185-208, Cambridge, MA, 1999.
    • (1999) Advances in Kernel Methods-support Vector Learning , pp. 185-208
    • Platt, J.1
  • 14
    • 0033296299 scopus 로고    scopus 로고
    • Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones
    • J. Sturm. Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones. Optimization Methods and Software, 11-12:625-653, 1999.
    • (1999) Optimization Methods and Software , vol.11-12 , pp. 625-653
    • Sturm, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.