메뉴 건너뛰기




Volumn 3635 LNAI, Issue , 2005, Pages 159-179

Bayesian independent component analysis with prior constraints: An application in biosignal analysis

Author keywords

Biosignal analysis; Independent component analysis; Prior constraints; Variational Bayes

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; LEARNING SYSTEMS; MATHEMATICAL MODELS; SET THEORY; SIGNAL PROCESSING;

EID: 33645958895     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11559887_10     Document Type: Conference Paper
Times cited : (10)

References (42)
  • 3
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • P. Comon. Independent component analysis, a new concept? Signal Processing, 36:287-314, 1994.
    • (1994) Signal Processing , vol.36 , pp. 287-314
    • Comon, P.1
  • 4
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • A Hyvärinen. Fast and Robust Fixed-Point Algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks, 10(3):626-634, 1999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.3 , pp. 626-634
    • Hyvärinen, A.1
  • 5
    • 0029411030 scopus 로고
    • An information maximisation approach to blind separation and blind deconvolution
    • A.J. Bell and T.J. Sejnowski. An information maximisation approach to blind separation and blind deconvolution. Neural Computation, 7(6):1129-1159, 1995.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 6
    • 0003905755 scopus 로고    scopus 로고
    • Maximum likelihood and covariant algorithms for independent component analysis
    • University of Cambridge, December
    • D.J.C. MacKay. Maximum Likelihood and Covariant Algorithms for Independent Component Analysis. Technical report, University of Cambridge, December 1996. Available from http://wol.ra.phy.cam.ac.uk/mackay/.
    • (1996) Technical Report
    • MacKay, D.J.C.1
  • 7
    • 0031122399 scopus 로고    scopus 로고
    • Infomax and maximum likelihood for blind separation
    • J-F. Cardoso. Infomax and Maximum Likelihood for Blind Separation. IEEE Signal Processing Letters, 4(4):112-114, 1997.
    • (1997) IEEE Signal Processing Letters , vol.4 , Issue.4 , pp. 112-114
    • Cardoso, J.-F.1
  • 8
    • 0032090128 scopus 로고    scopus 로고
    • Independent component analysis: Source assessment and separation, a Bayesian approach
    • S.J. Roberts. Independent Component Analysis: Source Assessment and Separation, a Bayesian Approach. IEE Proceedings, Vision, Image and Signal Processing, 145(3):149-154, 1998.
    • (1998) IEE Proceedings, Vision, Image and Signal Processing , vol.145 , Issue.3 , pp. 149-154
    • Roberts, S.J.1
  • 9
    • 0033570807 scopus 로고    scopus 로고
    • Independent component analysis: A flexible non-linearity and decorrelating manifold approach
    • R. Everson and S. Roberts. Independent Component Analysis: A flexible non-linearity and decorrelating manifold approach. Neural Computation, 11(8):1957-1984, 1999.
    • (1999) Neural Computation , vol.11 , Issue.8 , pp. 1957-1984
    • Everson, R.1    Roberts, S.2
  • 11
    • 0002741125 scopus 로고    scopus 로고
    • Ensemble learning for blind source separation
    • chapter 8 S. Roberts & R. Everson (Eds.). Cambridge University Press
    • J. Miskin and D. MacKay. Ensemble learning for blind source separation, chapter 8 in Independent Component Analysis: Principles and Practice, S. Roberts & R. Everson (Eds.). Cambridge University Press, 2001.
    • (2001) Independent Component Analysis: Principles and Practice
    • Miskin, J.1    MacKay, D.2
  • 12
    • 0037270849 scopus 로고    scopus 로고
    • Variational mixture of Bayesian independent component analysers
    • R. Choudrey and S. Roberts. Variational Mixture of Bayesian Independent Component Analysers. Neural Computation, 15(1):213-252, 2003.
    • (2003) Neural Computation , vol.15 , Issue.1 , pp. 213-252
    • Choudrey, R.1    Roberts, S.2
  • 18
    • 0347985152 scopus 로고    scopus 로고
    • Hierarchy, priors and wavelets: Structure and signal modelling using ICA
    • S. Roberts, E. Roussos, and R. Choudrey. Hierarchy, Priors and Wavelets: Structure and Signal Modelling using ICA. Signal Processing, 84:283-297, 2004.
    • (2004) Signal Processing , vol.84 , pp. 283-297
    • Roberts, S.1    Roussos, E.2    Choudrey, R.3
  • 24
    • 0015640134 scopus 로고
    • Theoretic analysis of field potentials in anisotropic ensembles of neuronal elements
    • C. Nicholson. Theoretic Analysis of Field Potentials in Anisotropic Ensembles of Neuronal Elements. IEEE Trans. Biomed. Eng., 20(4):279-288, 1973.
    • (1973) IEEE Trans. Biomed. Eng. , vol.20 , Issue.4 , pp. 279-288
    • Nicholson, C.1
  • 25
    • 0024110677 scopus 로고
    • On the magnetic field and the electric potential generated by bioelectric sources in an anisotropic volume conductor
    • M.J. Peters. On the Magnetic Field and the Electric Potential generated by Bioelectric Sources in an Anisotropic Volume Conductor. Med. & Biol. Eng. & Comput., 26:617-623, 1988.
    • (1988) Med. & Biol. Eng. & Comput. , vol.26 , pp. 617-623
    • Peters, M.J.1
  • 26
    • 0014352288 scopus 로고
    • Current distribution in the brain from surface electrodes
    • S. Rush and D.A. Drsicoll. Current Distribution in the Brain from Surface Electrodes. Anesth. Analg., 47:717-723, 1968.
    • (1968) Anesth. Analg. , vol.47 , pp. 717-723
    • Rush, S.1    Drsicoll, D.A.2
  • 27
    • 0005900859 scopus 로고    scopus 로고
    • Flexible Bayesian independent component analysis for blind source separation
    • San Diego, December
    • R. Choudrey and S. Roberts. Flexible Bayesian Independent Component Analysis for Blind Source Separation. In Proceedings of ICA-2001, San Diego, December 2001.
    • (2001) Proceedings of ICA-2001
    • Choudrey, R.1    Roberts, S.2
  • 28
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A.P. Dempster, N.M. Laird, and D.B. Rubin. Maximum Likelihood from Incomplete Data via the EM Algorithm. J. Roy. Stat. Soc., 39(1):1-38, 1977.
    • (1977) J. Roy. Stat. Soc. , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 30
    • 0033561886 scopus 로고    scopus 로고
    • Independent factor analysis
    • H. Attias. Independent Factor Analysis. Neural Computation, 11:803-851, 1999.
    • (1999) Neural Computation , vol.11 , pp. 803-851
    • Attias, H.1
  • 32
    • 0032187518 scopus 로고    scopus 로고
    • Blind signal separation: Statistical principles
    • J.-F. Cardoso. Blind signal separation: statistical principles. IEEE Transactions on Signal Processing, 9(10):2009-2025, 1998.
    • (1998) IEEE Transactions on Signal Processing , vol.9 , Issue.10 , pp. 2009-2025
    • Cardoso, J.-F.1
  • 33
    • 0032787276 scopus 로고    scopus 로고
    • An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers
    • D. Husmeier, W.D. Penny, and S.J. Roberts. An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. Neural Networks, 12:677-705, 1999.
    • (1999) Neural Networks , vol.12 , pp. 677-705
    • Husmeier, D.1    Penny, W.D.2    Roberts, S.J.3
  • 36
    • 0042685161 scopus 로고    scopus 로고
    • Bayesian parameter estimation via variational methods
    • T. S. Jaakkola and M. I. Jordan. Bayesian parameter estimation via variational methods. Statistics and Computing, 10:25-37, 2000.
    • (2000) Statistics and Computing , vol.10 , pp. 25-37
    • Jaakkola, T.S.1    Jordan, M.I.2
  • 40
    • 0025641634 scopus 로고
    • A new mode of communication between man and his surroundings
    • Z.A. Keirn and J.I. Aunon. A new mode of communication between man and his surroundings. IEEE Transactions of Biomedical Engineering, 37(12):1209-1214, 1990.
    • (1990) IEEE Transactions of Biomedical Engineering , vol.37 , Issue.12 , pp. 1209-1214
    • Keirn, Z.A.1    Aunon, J.I.2
  • 41
    • 0033981972 scopus 로고    scopus 로고
    • Real-time brain computer interfacing: A preliminary study using Bayesian learning
    • S.J. Roberts and W.D. Penny. Real-time Brain Computer Interfacing: a preliminary study using Bayesian learning. Medical and Biological Engineering & Computing, 38(1):56-61, 2000.
    • (2000) Medical and Biological Engineering & Computing , vol.38 , Issue.1 , pp. 56-61
    • Roberts, S.J.1    Penny, W.D.2
  • 42
    • 0004283231 scopus 로고    scopus 로고
    • M. I. Jordan, editor. MIT Press, Cambridge, MA
    • M. I. Jordan, editor. Learning in Graphical Models. MIT Press, Cambridge, MA, 1999.
    • (1999) Learning in Graphical Models


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.