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Volumn 3720 LNAI, Issue , 2005, Pages 649-656

Fitting the smallest enclosing bregman ball

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; BREGMAN BALL; BREGMAN DIVERGENCES; CLASS CLASSIFICATION;

EID: 33646435539     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564096_65     Document Type: Conference Paper
Times cited : (50)

References (8)
  • 3
    • 49949144765 scopus 로고
    • The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming
    • L. M. Bregman. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming. USSR Comp. Math, and Math. Phys., 7:200-217, 1967.
    • (1967) USSR Comp. Math, and Math. Phys. , vol.7 , pp. 200-217
    • Bregman, L.M.1
  • 4
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121-167, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 7
    • 0033220728 scopus 로고    scopus 로고
    • Support vector domain description
    • D. Tax and R. Duin. Support Vector Domain Description. Pattern Recognition Letters, 20:1191-1199, 1999.
    • (1999) Pattern Recognition Letters , vol.20 , pp. 1191-1199
    • Tax, D.1    Duin, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.