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Volumn , Issue , 2005, Pages

Kernel projection machine: A New tool for pattern recognition

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

EID: 84898928351     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (10)
  • 1
    • 0033459856 scopus 로고    scopus 로고
    • Risk bounds for model selection via penalization
    • P. Massart A. Barron, L. Birge. Risk bounds for model selection via penalization. Proba.Theory Relat.Fields, 113:301-413, 1999.
    • (1999) Proba.Theory Relat. Fields , vol.113 , pp. 301-413
    • Barron, P.M.A.1    Birge, L.2
  • 5
    • 0001014229 scopus 로고
    • Minimax risk over hyperrectangles, and implications
    • D.L. Donoho, R.C. Liu, and B. MacGibbon. Minimax risk over hyperrectangles, and implications. Ann. Statist. 18, 1416-1437, 1990.
    • (1990) Ann. Statist. , vol.18 , pp. 1416-1437
    • Donoho, D.L.1    Liu, R.C.2    MacGibbon, B.3
  • 6
    • 0002439508 scopus 로고    scopus 로고
    • Regularization networks and support vector machines
    • A. J. Smola, P. L. Bartlett, B. Scholkopf, and D. Schuurmans, editors, Cambridge, MA, MIT Press
    • T. Evgeniou, M. Pontil, and T. Poggio. Regularization networks and support vector machines. In A. J. Smola, P. L. Bartlett, B. Scholkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 171-203, Cambridge, MA, 2000. MIT Press.
    • (2000) Advances in Large Margin Classifiers , pp. 171-203
    • Evgeniou, T.1    Pontil, M.2    Poggio, T.3
  • 7
    • 9444244014 scopus 로고    scopus 로고
    • Asymptotics of spectral projections of some random matrices approximating integral operators
    • V. Koltchinskii. Asymptotics of spectral projections of some random matrices approximating integral operators. Progress in Probability, 43:191-227, 1998.
    • (1998) Progress in Probability , vol.43 , pp. 191-227
    • Koltchinskii, V.1
  • 8
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Scholkopf, A. J. Smola, and K.-R. Muller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.J.2    Muller, K.-R.3
  • 9
    • 24044515976 scopus 로고    scopus 로고
    • On a kernel-based method for pattern recognition, regression, approximation and operator inversion
    • A. J. Smola and B. Scholkopf. On a kernel-based method for pattern recognition, regression, approximation and operator inversion. Algorithmica, 22:211-231, 1998.
    • (1998) Algorithmica , vol.22 , pp. 211-231
    • Smola, A.J.1    Scholkopf, B.2
  • 10
    • 0003241881 scopus 로고
    • Spline models for observational data
    • of, Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania
    • G. Wahba. Spline Models for Observational Data, volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania, 1990.
    • (1990) CBMS-NSF Regional Conference Series in Applied Mathematics , vol.59
    • Wahba, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.