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Publications about 'Mixture'

Articles in journal or book chapters

  1. U. Noppeney and W. D. Penny. Two approaches to repetition suppression. Human Brain Mapping, 27:411-416, 2006. Keyword(s): fMRI, Mixture. [bibtex-entry]


  2. U. Noppeney, W. D. Penny, C. J. Price, G. Flandin, and K. J. Friston. Identification of degenerate neuronal systems based on intersubject variability. Neuroimage, 30:885-890, 2006. Keyword(s): fMRI, Mixture. [bibtex-entry]


  3. W.D. Penny and K.J. Friston. Mixtures of General Linear Models for Functional Neuroimaging. IEEE Transactions on Medical Imaging, 22(4):504-514, 2003. Keyword(s): Mixture, GLM, Bayesian, fMRI, spatial, EM. [bibtex-entry]


  4. S.J. Roberts and W.D. Penny. Variational Bayes for Generalised Autoregressive models. IEEE Transactions on Signal Processing, 50(9):2245-2257, 2002. Keyword(s): Variational, EEG, Autoregressive, Mixture. [bibtex-entry]


  5. S.J. Roberts W.D. Penny and R. Everson. ICA: Model-order selection and dynamic source models. In S.J. Roberts and R. Everson, editors, ICA: Principles and Practice, pages 299-314. Cambridge University Press, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]


  6. S. J. Roberts, D. Husmeier, W. Penny, and I. Rezek. Bayesian Approaches to Gaussian Mixture Modelling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1133-1142, 1998. Keyword(s): Mixture, BMC. [bibtex-entry]


Conference articles

  1. S.J. Roberts and W.D. Penny. Mixtures of Independent Component Analysers. In Proceedings of ICANN, 2001. Keyword(s): Mixture, ICA. [bibtex-entry]


  2. W.D. Penny and S.J. Roberts. Variational Bayes for Non-Gaussian Autoregressive Models. In IEEE Workshop on Neural Networks for Signal Processing, Sydney Australia, 2000. Keyword(s): Variational, Autoregressive, Mixture. [bibtex-entry]


  3. W.D. Penny R. Choudrey and S.J. Roberts. An Ensemble Learning Approach to Independent Component Analysis. In IEEE Workshop on Neural Networks for Signal Processing, Sydney Australia, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]


  4. R. Everson W.D. Penny and S.J. Roberts. Hidden Markov Independent Components for Biosignal Analysis. In Proceedings of MEDSIP-2000, International Conference on Advances in Medical Signal and Information Processing, IEE, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]


  5. W.D. Penny D. Husmeier and S.J. Roberts. Empirical Evaluation of Bayesian Sampling for Neural Classifiers. In M.Boden L.Niklason and T.Ziemke, editors, ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, 1998. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]


Internal reports

  1. W.D. Penny. Variational Bayes for d-dimensional Gaussian mixture models. Technical report, Wellcome Department of Cognitive Neurology, University College London, 2001. Keyword(s): Variational, Mixture. [bibtex-entry]


  2. W.D. Penny and S.J. Roberts. Variational Bayes for 1-dimensional mixture models. Technical report, Department of Engineering Science, Oxford University, 2000. Keyword(s): Variational, Mixture. [bibtex-entry]



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Last modified: Tue Feb 17 16:23:58 2009
Author: wpenny.

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