PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Mike Titterington

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Number of EPrints submitted by this user: 22

Variational Approximations in Bayesian Model Selection for Finite Mixture Distributions
Clare Anne McGrory and Mike Titterington
Computational Statistics and Data Analysis 2006.

Inadequacy of interval estimates corresponding to variational Bayesian approximations
Bo Wang and Mike Titterington
In: 10th International workshop on Artifical Intelligence and Statistics, 6-8 Jan 2005, Barbados.

Variational Bayes estimation of mixing coefficients
Bo Wang and Mike Titterington
In: Sheffild Workshop on Machine Learning, 7-10 Sept 2004, Sheffield, England.

Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model
Bo Wang and Mike Titterington
Bayesian Analysis 2004.

Some aspects of latent structure analysis
Mike Titterington
In: Subspace, latent structure and feature selection techniques, 23-25 February 2005, Bohinj, Slovenia.

Some aspects of statistical image modelling and restoration
Mike Titterington
In: Phystat05, 12-15 September 2005, Oxford, Englamd.

Variational Approximations in Bayesian Model Selection for Finite Mixture Distributions
Clare Anne McGrory and Mike Titterington
Computational Statistics and Data Analysis 2005.

Variational Bayesian analysis for hidden Markov models
Clare Anne McGrory and Mike Titterington
Australian and New Zealand Journal of Statistics 2006.

Do Unbalanced Data Have a Negative Effect on LDA?
Jinghao Xue and Mike Titterington
Pattern Recognition 2007.

Short Note on Two Output-dependent Hidden Markov Models
Jinghao Xue and Mike Titterington
Pattern Recognition Letters 2007.

Short Letter on the Semiparametric Transformation Discriminant Analysis
Jinghao Xue and Mike Titterington
technical report 2007.

Interpretation of Hybrid Generative/Discriminative Algorithms
Jinghao Xue and Mike Titterington
Neurocomputing 2007.

Comment on ``On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes"
Jinghao Xue and Mike Titterington
Neural Processing Letters 2007.

Discriminative Image Thresholding
Jinghao Xue and Mike Titterington
Pattern Recognition 2007.

Variational Bayes for estimating the parameters of a hidden Potts model
Clare Anne McGrory, Mike Titterington, Rob Reeves and Anthony Pettitt
Statistics and Computing 2009.

Variational Bayesian inference for partially observed stochastic dynamical systems
Bo Wang and Mike Titterington
In: International Workshop on Statistical-Mechanical Informatics 2008, 14-17 Sep 2008, Sendai, Japan.

Statistical Challenges of High-dimensional Data
Iain M. Johnstone and Mike Titterington
Philosophical Transaction of the Royal Society A Volume 367, Number 1906, pp. 4237-4253, 2009.

t-tests, F-tests and Otsu's methods for image thresholding
Jinghao Xue and Mike Titterington
IEEE Transactions on Image Processing 2010.

The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile
Jinghao Xue and Mike Titterington
Statistics and Probability Letters 2010.

Median-based image thresholding
Jinghao Xue and Mike Titterington
Image and Vision Computing 2010.

Threshold selection from image histograms with skewed components based on maximum-likelihood estimation of skew-normal and log-concave distributions
Jinghao Xue and Mike Titterington
Computer Vision and Image Understanding 2010.

Image thresholding by using statistics for determining the number of clusters
Jinghao Xue and Mike Titterington
Pattern Recognition Letters 2010.