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Volumn 4, Issue , 2004, Pages 3019-3024

Kernel-based canonical coordinate decomposition of two-channel nonlinear maps

Author keywords

[No Author keywords available]

Indexed keywords

CANONICAL COORDINATES; DATA CHANNELS; NONLINEAR MAPS; SINGULAR VALUE DECOMPOSITION (SVD);

EID: 10944255980     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1381148     Document Type: Conference Paper
Times cited : (7)

References (20)
  • 2
    • 0029373805 scopus 로고
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    • Sept.
    • D. Cochran, H. Gish, and D. Sinno, "A geometric approach to multiple channel signal detection," IEEE Trans. on Signal Processing, vol. 43, pp. 2049-2057, Sept. 1995.
    • (1995) IEEE Trans. on Signal Processing , vol.43 , pp. 2049-2057
    • Cochran, D.1    Gish, H.2    Sinno, D.3
  • 4
    • 0033886042 scopus 로고    scopus 로고
    • Canonical coordinates and the geometry of inference, rate and capacity
    • March
    • L. L. Scharf and C. T. Mullis, "Canonical coordinates and the geometry of inference, rate and capacity," IEEE Trans. on Signal Processing, vol. 48, pp. 824-831, March 2000.
    • (2000) IEEE Trans. on Signal Processing , vol.48 , pp. 824-831
    • Scharf, L.L.1    Mullis, C.T.2
  • 5
    • 0032023788 scopus 로고    scopus 로고
    • Wiener filters in canonical coordinates for transform coding, filtering, and quantizing
    • March
    • L. L. Scharf and J. T. Thomas, "Wiener filters in canonical coordinates for transform coding, filtering, and quantizing," IEEE Trans. on Signal Processing, vol. 46, pp. 647-654, March 1998.
    • (1998) IEEE Trans. on Signal Processing , vol.46 , pp. 647-654
    • Scharf, L.L.1    Thomas, J.T.2
  • 8
    • 34249753618 scopus 로고
    • Support vector networks
    • _, "Support vector networks," Machine Learning, vol. 20, pp. 273-297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
  • 10
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K.-R. Müller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, pp. 1299-1319, 1998.
    • (1998) Neural Comput. , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3
  • 11
    • 0035111818 scopus 로고    scopus 로고
    • Nonlinear kernel-based statistical pattern analysis
    • Jan.
    • A. Ruiz and P. E. López-de-Teruel, "Nonlinear kernel-based statistical pattern analysis," IEEE Trans. Neural Networks, vol. 12, pp. 16-32, Jan. 2001.
    • (2001) IEEE Trans. Neural Networks , vol.12 , pp. 16-32
    • Ruiz, A.1    López-De-Teruel, P.E.2
  • 14
    • 2542538718 scopus 로고    scopus 로고
    • The geometry of kernel canonical correlation analysis
    • Max Planck Institute for Biological Cybernetics, May
    • M. Kuss and T. Graepel, "The geometry of kernel canonical correlation analysis," Max Planck Institute for Biological Cybernetics, Technical Report 108, May 2003.
    • (2003) Technical Report , vol.108
    • Kuss, M.1    Graepel, T.2
  • 15
    • 0034304404 scopus 로고    scopus 로고
    • Kernel and nonlinear canonical correlation analysis
    • P. L. Lai and C. Fyfe, "Kernel and nonlinear canonical correlation analysis," International Journal of Neural Systems, vol. 10, pp. 365-377, 2000.
    • (2000) International Journal of Neural Systems , vol.10 , pp. 365-377
    • Lai, P.L.1    Fyfe, C.2
  • 17
    • 1542461151 scopus 로고    scopus 로고
    • Two-channel constrained least squares problems: Solutions using power methods and connections with canonical coordinates
    • Dec.
    • A. Pezeshki, L. L. Scharf, M. R. Azimi-Sadjadi, and Y. Hua, "Two-channel constrained least squares problems: Solutions using power methods and connections with canonical coordinates," IEEE Trans. Signal Processing, To Appear, Dec. 2004.
    • (2004) IEEE Trans. Signal Processing, to Appear
    • Pezeshki, A.1    Scharf, L.L.2    Azimi-Sadjadi, M.R.3    Hua, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.