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Volumn , Issue , 2008, Pages 1909-1912

Gaussian processes for source separation

Author keywords

Gaussian process regression; Independent component analysis; Pseudo likelihood; Source separation

Indexed keywords

ACOUSTICS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); ISOMERS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD; RANDOM PROCESSES; SEPARATION; SIGNAL ANALYSIS; SIGNAL PROCESSING; SPEECH; TRELLIS CODES;

EID: 51449111854     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518008     Document Type: Conference Paper
Times cited : (17)

References (13)
  • 2
    • 0029411030 scopus 로고
    • An information maximisation approach to blind separation and blind deconvolution
    • A. Bell and T. Sejnowski, "An information maximisation approach to blind separation and blind deconvolution," Neural Computation, vol. 7, pp. 1129-1159, 1995.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.1    Sejnowski, T.2
  • 3
    • 0346307721 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis
    • A. Hyvärinen and E. Oja, "A fast fixed-point algorithm for independent component analysis," Neural Computation, vol. 9, pp. 1483-1492, 1997.
    • (1997) Neural Computation , vol.9 , pp. 1483-1492
    • Hyvärinen, A.1    Oja, E.2
  • 4
    • 0031271273 scopus 로고    scopus 로고
    • Blind source separation: Semi-parametric statistical approach
    • S. Amari and J. F. Cardoso, "Blind source separation: Semi-parametric statistical approach," IEEE Trans. Signal Processing, vol. 45, pp. 2692-2700, 1997.
    • (1997) IEEE Trans. Signal Processing , vol.45 , pp. 2692-2700
    • Amari, S.1    Cardoso, J.F.2
  • 6
    • 0032528695 scopus 로고    scopus 로고
    • Blind source separation and deconvolution: The dynamic component analysis algorithms
    • H. Attias and C. E. Schreiner, "Blind source separation and deconvolution: The dynamic component analysis algorithms," Neural Computation, vol. 10, pp. 1373-1424, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1373-1424
    • Attias, H.1    Schreiner, C.E.2
  • 8
    • 12444291490 scopus 로고    scopus 로고
    • Gaussian processes for machine learning
    • M. Seeger, "Gaussian processes for machine learning," International Journal of Neural Systems, vol. 14, no. 2, pp. 69-106, 2004.
    • (2004) International Journal of Neural Systems , vol.14 , Issue.2 , pp. 69-106
    • Seeger, M.1
  • 10
    • 0035344742 scopus 로고    scopus 로고
    • Predictive approaches for choosing hyperparameters in Gaussian processes
    • S. Sundararajan and S. S. Keerthi, "Predictive approaches for choosing hyperparameters in Gaussian processes," Neural Computation, vol. 13, pp. 1103-1118, 2001.
    • (2001) Neural Computation , vol.13 , pp. 1103-1118
    • Sundararajan, S.1    Keerthi, S.S.2
  • 11
    • 0003676187 scopus 로고    scopus 로고
    • Optimization toolbox for use with MATLAB user's guide version 2
    • T. Coleman, M. Branch, and A. Grace, "Optimization toolbox for use with MATLAB user's guide version 2," 1999.
    • (1999)
    • Coleman, T.1    Branch, M.2    Grace, A.3
  • 12
    • 33749754615 scopus 로고    scopus 로고
    • A new learning algorithm for blind signal separation
    • D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, Eds, MIT Press
    • S. Amari, A. Cichocki, and H. H. Yang, "A new learning algorithm for blind signal separation," in Advances in Neural Information Processing Systems, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, Eds. 1996, vol. 8, pp. 757-763, MIT Press.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 757-763
    • Amari, S.1    Cichocki, A.2    Yang, H.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.