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Volumn 2, Issue , 2004, Pages 1553-1556

Application of support vector clustering to the visualization of medical images

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING; DATA POINTS; SUPPORT VECTOR MACHINE (SVM);

EID: 17144405689     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 1
    • 0004252730 scopus 로고    scopus 로고
    • Variational implicit surfaces
    • Georgia Institute of Technology
    • G. Turk and J.F. O'Brien, "Variational implicit surfaces," Tech. Rep. GIT-GVU-99-15, Georgia Institute of Technology, 1999.
    • (1999) Tech. Rep. , vol.GIT-GVU-99-15
    • Turk, G.1    O'Brien, J.F.2
  • 2
    • 0025384284 scopus 로고
    • Recovery or parametric models from range images: The case of superquadrics with global deformations
    • F. Solina and R. Bajcsy, "Recovery or parametric models from range images: The case of superquadrics with global deformations," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 2, 1990.
    • (1990) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.12 , Issue.2
    • Solina, F.1    Bajcsy, R.2
  • 7
    • 17144373118 scopus 로고    scopus 로고
    • Application of learning machine methods to 3d object modeling
    • Advances in Artificial Intelligence - IBERAMIA 2002, F. Garìjo, J.C. Riquelme, and M. Toro, Eds. Springer
    • C. Garcia and J.A. Moreno, "Application of learning machine methods to 3d object modeling," in Advances in Artificial Intelligence - IBERAMIA 2002, F. Garìjo, J.C. Riquelme, and M. Toro, Eds., vol. 2527 of Lecture Notes in Artificial Intelligence. Springer, 2002.
    • (2002) Lecture Notes in Artificial Intelligence , vol.2527
    • Garcia, C.1    Moreno, J.A.2
  • 8
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Scholkopf, J. Burges, and A.J. Smola, Eds. MIT Press, Cambridge, MA
    • J. Platt, "Fast training of support vector machines using sequential minimal optimization," in Advances in Kernel Methods - Support Vector Learning, B. Scholkopf, J. Burges, and A.J. Smola, Eds., pp. 185-208. MIT Press, Cambridge, MA, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.