메뉴 건너뛰기




Volumn 90, Issue 5, 2010, Pages 1542-1553

Adaptive kernel principal component analysis

Author keywords

Adaptive method; Kernel principal component; Kernel principal component analysis; Non stationary data; Recursive algorithm

Indexed keywords

ADAPTIVE METHODS; KERNEL PRINCIPAL COMPONENT; KERNEL PRINCIPAL COMPONENT ANALYSIS; NONSTATIONARY DATA; RECURSIVE ALGORITHMS;

EID: 75249084652     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.11.001     Document Type: Article
Times cited : (71)

References (26)
  • 1
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Scholkopf B., Smola A., and Muller K.R. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10 5 (1998) 1299-1319
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.R.3
  • 3
    • 4544340625 scopus 로고    scopus 로고
    • Essence of kernel Fisher discriminant: KPCA plus LDA
    • Yang J., Jin Z., Yang J.Y., et al. Essence of kernel Fisher discriminant: KPCA plus LDA. Pattern Recognition 37 10 (2004) 2097-2100
    • (2004) Pattern Recognition , vol.37 , Issue.10 , pp. 2097-2100
    • Yang, J.1    Jin, Z.2    Yang, J.Y.3
  • 4
    • 34548150226 scopus 로고    scopus 로고
    • Kernel PCA for similarity invariant shape recognition
    • Sahbi H. Kernel PCA for similarity invariant shape recognition. Neurocomputing 70 (2007) 3034-3045
    • (2007) Neurocomputing , vol.70 , pp. 3034-3045
    • Sahbi, H.1
  • 5
    • 0036477056 scopus 로고    scopus 로고
    • Face recognition using kernel principal component analysis
    • Kim K.I., Jung K., and Kim H.J. Face recognition using kernel principal component analysis. IEEE Signal Processing Letters 9 2 (2002) 40-42
    • (2002) IEEE Signal Processing Letters , vol.9 , Issue.2 , pp. 40-42
    • Kim, K.I.1    Jung, K.2    Kim, H.J.3
  • 6
    • 44649127326 scopus 로고    scopus 로고
    • Supervised kernel neighborhood preserving projections for radar target recognition
    • Yu X.L., Wang X.G., and Liu B.Y. Supervised kernel neighborhood preserving projections for radar target recognition. Signal Processing 88 9 (2008) 2335-2339
    • (2008) Signal Processing , vol.88 , Issue.9 , pp. 2335-2339
    • Yu, X.L.1    Wang, X.G.2    Liu, B.Y.3
  • 7
    • 33847676413 scopus 로고    scopus 로고
    • Statistical properties of kernel principal component analysis
    • Blanchard G., Bousquet O., and Zwald L. Statistical properties of kernel principal component analysis. Machine Learning 66 2-3 (2007) 259-294
    • (2007) Machine Learning , vol.66 , Issue.2-3 , pp. 259-294
    • Blanchard, G.1    Bousquet, O.2    Zwald, L.3
  • 8
    • 64249101035 scopus 로고    scopus 로고
    • Moving window kernel PCA for adaptive monitoring of nonlinear processes
    • Liu X., Kruger U., Littler T., et al. Moving window kernel PCA for adaptive monitoring of nonlinear processes. Chemometrics and Intelligent Laboratory Systems 96 2 (2009) 132-143
    • (2009) Chemometrics and Intelligent Laboratory Systems , vol.96 , Issue.2 , pp. 132-143
    • Liu, X.1    Kruger, U.2    Littler, T.3
  • 9
    • 75249083272 scopus 로고    scopus 로고
    • Image registration based on piecewise linear group parameters
    • Ma W.J., Chen H., and Tian H.Y. Image registration based on piecewise linear group parameters. Journal of Computer Applications 27 4 (2007) 976-978
    • (2007) Journal of Computer Applications , vol.27 , Issue.4 , pp. 976-978
    • Ma, W.J.1    Chen, H.2    Tian, H.Y.3
  • 10
    • 25844445939 scopus 로고    scopus 로고
    • Iterative kernel principal component analysis for image modeling
    • Kim K.I., Franz M.O., and Scholkopf B. Iterative kernel principal component analysis for image modeling. IEEE Transactions PAMI 27 9 (2005) 1351-1366
    • (2005) IEEE Transactions PAMI , vol.27 , Issue.9 , pp. 1351-1366
    • Kim, K.I.1    Franz, M.O.2    Scholkopf, B.3
  • 11
    • 56049114663 scopus 로고    scopus 로고
    • Kernel least mean square algorithm with constrained growth
    • Pokharel P.P., Liu W.F., and Principe J.C. Kernel least mean square algorithm with constrained growth. Signal Processing 89 3 (2009) 257-265
    • (2009) Signal Processing , vol.89 , Issue.3 , pp. 257-265
    • Pokharel, P.P.1    Liu, W.F.2    Principe, J.C.3
  • 12
    • 0036565280 scopus 로고    scopus 로고
    • Mercer kernel-based clustering in feature space
    • Girolami M. Mercer kernel-based clustering in feature space. IEEE Transactions Neural Networks 13 3 (2002) 780-784
    • (2002) IEEE Transactions Neural Networks , vol.13 , Issue.3 , pp. 780-784
    • Girolami, M.1
  • 16
    • 34249337437 scopus 로고    scopus 로고
    • Incremental kernel principal component analysis
    • Chin T.J., and Suter D. Incremental kernel principal component analysis. IEEE Transactions Image Processing 16 6 (2007) 1662-1674
    • (2007) IEEE Transactions Image Processing , vol.16 , Issue.6 , pp. 1662-1674
    • Chin, T.J.1    Suter, D.2
  • 21
    • 33847205368 scopus 로고    scopus 로고
    • Efficiently updating and tracking the dominant kernel principal components
    • Hoegaerts L., De Lathauwer L., Goethals I., et al. Efficiently updating and tracking the dominant kernel principal components. Neural Networks 20 2 (2007) 220-229
    • (2007) Neural Networks , vol.20 , Issue.2 , pp. 220-229
    • Hoegaerts, L.1    De Lathauwer, L.2    Goethals, I.3
  • 23
    • 0026157790 scopus 로고
    • Recursive updating the eigenvalue decomposition of a covariance matrix
    • Yu K.B. Recursive updating the eigenvalue decomposition of a covariance matrix. IEEE Transactions Signal Processing 39 5 (1991) 1136-1145
    • (1991) IEEE Transactions Signal Processing , vol.39 , Issue.5 , pp. 1136-1145
    • Yu, K.B.1
  • 24
    • 0028516278 scopus 로고
    • Adaptive eigendecompsition of data covariance matrices based on first-order perturbations
    • Champagne B. Adaptive eigendecompsition of data covariance matrices based on first-order perturbations. IEEE Transactions Signal Processing 42 10 (1994) 2758-2770
    • (1994) IEEE Transactions Signal Processing , vol.42 , Issue.10 , pp. 2758-2770
    • Champagne, B.1
  • 26
    • 56449093574 scopus 로고    scopus 로고
    • An unsupervised multiresolution face-kernel recognition model
    • Queen's University Belfast, Northern Ireland, 30-31 Aug
    • M. Pavlou, N.M. Allinson, An unsupervised multiresolution face-kernel recognition model, in: Proceedings of the Irish Machine Vision and Image Processing Conference 2005, Queen's University Belfast, Northern Ireland, 30-31 Aug 2005, pp. 3-10.
    • (2005) Proceedings of the Irish Machine Vision and Image Processing Conference , pp. 3-10
    • Pavlou, M.1    Allinson, N.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.