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Volumn 55, Issue 1-2, 2003, Pages 21-38

Feature vector selection and projection using kernels

Author keywords

Data selection; Discriminant analysis; Feature space; Kernel methods; Principal component analysis

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SET THEORY;

EID: 0242383468     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(03)00429-6     Document Type: Article
Times cited : (111)

References (25)
  • 1
    • 0000874557 scopus 로고
    • Theoretical foundations of the potential function method in pattern recognition learning
    • M.A. Aizerman, E.M. Braverman, L.I. Rozonocer, Theoretical foundations of the potential function method in pattern recognition learning, Automat. Remote Control 25 (1964) 821-837.
    • (1964) Automat. Remote Control , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, E.M.2    Rozonocer, L.I.3
  • 3
    • 0032584958 scopus 로고    scopus 로고
    • Probabilistic self organizing map and radial basis function
    • F. Anouar, F. Badran, S. Thiria, Probabilistic self organizing map and radial basis function, J. Neurocomput. 20 (1998) 83-96.
    • (1998) J. Neurocomput. , vol.20 , pp. 83-96
    • Anouar, F.1    Badran, F.2    Thiria, S.3
  • 4
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • G. Baudat, F. Anouar, Generalized discriminant analysis using a kernel approach, Neural Comput. 12 (2000) 2385-2404.
    • (2000) Neural Comput. , vol.12 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 5
    • 0034861805 scopus 로고    scopus 로고
    • Kernel based methods and function approximation
    • International Joint Conference on Neural Network, IJCNN Washington, DC
    • G. Baudat, F. Anouar, Kernel based methods and function approximation, International Joint Conference on Neural Network, IJCNN 2001, Washington, DC, pp. 1244-1249.
    • (2001) , pp. 1244-1249
    • Baudat, G.1    Anouar, F.2
  • 6
    • 0026966646 scopus 로고
    • A training algorithm for optimal margin classifiers
    • D. Haussler (Ed.), Fifth Annual ACM Workshop on COLT, Pittsburgh, PA, ACM Press, New York
    • B.E. Boser, I.M. Guyon, V.N. Vapnik, A training algorithm for optimal margin classifiers, in: D. Haussler (Ed.), Fifth Annual ACM Workshop on COLT, Pittsburgh, PA, ACM Press, New York, 1992, pp. 144-152.
    • (1992) , pp. 144-152
    • Boser, B.E.1    Guyon, I.M.2    Vapnik, V.N.3
  • 7
    • 0003401677 scopus 로고    scopus 로고
    • A tutorial on support vector machine for pattern recognition
    • support vector web page
    • C.J.C. Burges, A tutorial on support vector machine for pattern recognition, support vector web page, http://svm.first.gmd.de, 1998.
    • (1998)
    • Burges, C.J.C.1
  • 8
    • 84898957872 scopus 로고    scopus 로고
    • Improving the accuracy and speed of support vector machines
    • MIT Press, Cambridge, MA
    • C.J.C. Burges, B. Schölkopf, Improving the accuracy and speed of support vector machines, in: Neural Information Processing Systems, Vol. 9, MIT Press, Cambridge, MA, 1997.
    • (1997) Neural Information Processing Systems , vol.9
    • Burges, C.J.C.1    Schölkopf, B.2
  • 11
    • 85030953810 scopus 로고    scopus 로고
    • IDA Benchmark repository
    • IDA Benchmark repository, http://ida.first.gmd.de/~raetsch/data/benchmarks.htm.
  • 12
    • 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, Philos. Trans. Roy. Soc. London A 209 (1909) 415-446.
    • (1909) Philos. Trans. Roy. Soc. London A , vol.209 , pp. 415-446
    • Mercer, J.1
  • 15
    • 0016765357 scopus 로고
    • On optimal nonlinear associative recall
    • T. Poggio, On optimal nonlinear associative recall, Biol. Cybernet. 19 (1975) 201-209.
    • (1975) Biol. Cybernet. , vol.19 , pp. 201-209
    • Poggio, T.1
  • 18
    • 0002493574 scopus 로고    scopus 로고
    • Sparse greedy matrix approximation for machine learning
    • International Conference on Machine Learning, ICML 2000, Stanford, CA
    • A.J. Smola, B. Schölkopf, Sparse greedy matrix approximation for machine learning, International Conference on Machine Learning, ICML 2000, Stanford, CA, 2000.
    • (2000)
    • Smola, A.J.1    Schölkopf, B.2
  • 19
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A.J. Smola, K.R. Müller, Nonlinear component analysis as a kernel eigenvalue problem, Neural Comput. 10 (1998) 1299-1319.
    • (1998) Neural Comput. , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.J.2    Müller, K.R.3
  • 22
    • 84899032239 scopus 로고    scopus 로고
    • The relevance vector machine
    • S.A. Solla, T.K. Leen, K.-R. Müller (Eds.), MIT Press, Cambridge, MA
    • M.E. Tipping, The relevance vector machine, in: S.A. Solla, T.K. Leen, K.-R. Müller (Eds.), Advances in Neural Information Processing System, Vol. 12, MIT Press, Cambridge, MA, 2000.
    • (2000) Advances in Neural Information Processing System , vol.12
    • Tipping, M.E.1
  • 24
    • 0002817067 scopus 로고    scopus 로고
    • Three remarks on support vector method of function estimation
    • B. Schölkopf, C.J.C. Burges, A.J. Smola (Eds.), MIT Press, Cambridge, MA
    • V. Vapnik, Three remarks on support vector method of function estimation, in: B. Schölkopf, C.J.C. Burges, A.J. Smola (Eds.), Advances in Kernel Methods, MIT Press, Cambridge, MA, 2000.
    • (2000) Advances in Kernel Methods
    • Vapnik, V.1
  • 25
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation, and signal processing
    • MIT Press, Cambridge, MA
    • V. Vapnik, S.E. Golowich, A. Smola, Support vector method for function approximation, regression estimation, and signal processing, in: Neural Information Processing Systems, Vol. 9, MIT Press, Cambridge, MA, 1997.
    • (1997) Neural Information Processing Systems , vol.9
    • Vapnik, V.1    Golowich, S.E.2    Smola, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.