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Volumn 38, Issue , 2012, Pages 708-717

An efficient way of solving inverse problem using nonlinear wiener filter and its application to pattern recognition

Author keywords

Inverse problem; Kernel function; Kernel principal component analysis (KPCA); Kernel wiener filter

Indexed keywords


EID: 84901022282     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2012.06.089     Document Type: Conference Paper
Times cited : (1)

References (20)
  • 2
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Jul
    • Scholkopf B, Smola A and Muller KR. . Nonlinear Component analysis as a kernel eigenvalue problem. IEEE Transcations on Neural Computation, vol. 10, no. 5; Jul. 1998, p. 1299-1319.
    • (1998) IEEE Transcations on Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.R.3
  • 5
    • 33947121057 scopus 로고    scopus 로고
    • Nonlinear regularized wiener filtering with kernels: Application in denoising MEG data corrupted by ECG
    • Dec
    • Constatin I, Richard C, Lengelle R and Soufilet. Nonlinear regularized Wiener filtering with kernels:Application in denoising MEG data corrupted by ECG. IEEETranscations on Signal Processing, vol. 54, no. 12; Dec. 2006, p.4796-4806.
    • (2006) IEEETranscations on Signal Processing , vol.54 , Issue.12 , pp. 4796-4806
    • Constatin, I.1    Richard, C.2    Lengelle, R.3    Soufilet4
  • 7
    • 0032634974 scopus 로고    scopus 로고
    • Training multilayer perception classifiers based on a modified support vector method
    • July
    • Suykens JAK and Vandewalle. Training Multilayer Perception classifiers based on a modified Support Vector Method. IEEE Transaction on Neural Network, vol. 10, no. 4; July 1999.
    • (1999) IEEE Transaction on Neural Network , vol.10 , Issue.4
    • Suykens, J.A.K.1    Vandewalle2
  • 11
    • 0041965965 scopus 로고    scopus 로고
    • The subspace information criterion for infinite dimensional hypothesis spaces
    • March
    • Sugiyama and Muller KR. The Subspace information criterion for infinite dimensional hypothesis spaces. Journal of Machine Learning Restoration, vol. 3; March 2003, p.323-359.
    • (2003) Journal of Machine Learning Restoration , vol.3 , pp. 323-359
    • Sugiyama1    Muller, K.R.2
  • 14
    • 0033741483 scopus 로고    scopus 로고
    • A class of learning algorithms for principal component analysis and minor component analysis
    • Jan
    • Zhang Q and Leung YW. A Class of Learning Algorithms for Principal Component Analysis and Minor Component Analysis. IEEE Transactions on Neural Network, vol. 11, no. 1; Jan. 2000.
    • (2000) IEEE Transactions on Neural Network , vol.11 , Issue.1
    • Zhang, Q.1    Leung, Y.W.2
  • 18
    • 72149098116 scopus 로고    scopus 로고
    • An information theoretic approach of designing sparse kernel adaptive filters
    • Dec
    • Liu W, Park I, Principe JC. An information theoretic approach of designing sparse kernel adaptive filters. IEEE Transactions on Neural Network, vol. 20, no. 12; Dec. 2009, p. 1950-1961.
    • (2009) IEEE Transactions on Neural Network , vol.20 , Issue.12 , pp. 1950-1961
    • Liu, W.1    Park, I.2    Principe, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.