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Jinghao (J.-H.) Xue
Lecturer,
Department of Statistical Science,
University College London,
London, WC1E 6BT, UK; jinghao.xue-aT-ucl.ac.uk
- Research Interests
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- Statistical pattern recognition, machine learning, data mining and image processing
- Supervised, unsupervised and incompletely-supervised learning for complex high-dimensional data
- Recent Publications
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Xue, J.-H. and Hall, P. (2013)
Why does rebalancing class-unbalanced data improve AUC for linear discriminant analysis?
IEEE Transactions on Pattern Analysis and Machine Intelligence, revised.
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Hall, P., Xia, Y. and Xue, J.-H. (2013)
Simple tiered classifiers.
Biometrika, 100(2), 431-445.
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Hall, P. and Xue, J.-H. (2013)
On selecting interacting features from high-dimensional data.
Computational Statistics & Data Analysis, in press.
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Xue, J.-H. and Zhang, Y.-J. (2012)
Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding.
Pattern Recognition Letters, 33(6), 793-797.
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Xue, J.-H. and Titterington, D.M. (2011)
Median-based image thresholding.
Image and Vision Computing, 29(9), 631-637.
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Xue, J.-H. and Titterington, D.M. (2011)
t-tests, F-tests and Otsu's methods for image thresholding.
IEEE Transactions on Image Processing, 20(8), 2392-2396.
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Xue, J.-H. and Titterington, D.M. (2011)
The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile.
Statistics & Probability Letters, 81(8), 1179-1182.
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Xue, J.-H. and Titterington, D.M. (2010)
Joint discriminative-generative modelling based on statistical tests for classification.
Pattern Recognition Letters, 31(9), 1048-1055.
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Hall, P. and Xue, J.-H. (2010)
Incorporating prior probabilities into high-dimensional classifiers.
Biometrika, 97(1), 31-48.
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Xue, J.-H. and Titterington, D.M. (2010)
On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance.
Computational Statistics & Data Analysis, 54(2), 438-451.
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Hall, P., Titterington, D.M. and Xue, J.-H. (2009)
Median-based classifiers for high-dimensional data.
Journal of the American Statistical Association, 104(488), 1597-1608.
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Hall, P., Titterington, D.M. and Xue, J.-H. (2009)
Tilting methods for assessing the influence of components in a classifier.
Journal of the Royal Statistical Society: Series B, 71(4), 783-803.
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Xue, J.-H. and Titterington, D.M. (2009)
Interpretation of hybrid generative/discriminative algorithms.
Neurocomputing, 72(7-9), 1648-1655.
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Xue, J.-H. and Titterington, D.M. (2008)
Comment on "On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes."
Neural Processing Letters, 28(3), 169-187.
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Xue, J.-H. and Titterington, D.M. (2008)
Short note on two output-dependent hidden Markov models.
Pattern Recognition Letters, 29(9), 1424-1426.
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Xue, J.-H. and Titterington, D.M. (2008)
Do unbalanced data have a negative effect on LDA?
Pattern Recognition, 41(5), 1558-1571.
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Short Discussions
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Xue, J.-H. and Titterington, D.M. (2010)
Discussion of "Maximum likelihood estimation of a multi-dimensional log-concave density" by Cule, M.L., Samworth, R.J. and Stewart, M.I.
Journal of the Royal Statistical Society: Series B, 72(5), 582.
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Hall, P., Titterington, D.M. and Xue, J.-H. (2008)
Discussion of "Sure independence screening for ultrahigh dimensional feature space" by Fan, J. and Lv, J.
Journal of the Royal Statistical Society: Series B, 70(5), 889-890.
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Teaching (2012-2013)
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UCL: STATG004/M004 Applied Bayesian Methods (2nd Term)
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London Taught Course Centre: Applied Bayesian Methods (2nd Term)
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ICPR2012 Tutorial: Penalised Likelihood Methods for High-dimensional Pattern Analysis
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Research Supervision
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Postdoc: Tun, T.T. (2012-2013)
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PhD: Valencia Garza, M.A. (2012-)
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MRes: Wang, Z. (2012-)
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MSc: Cao, S. (2012); Wang, Z. (2012); Charalambous, M. (2010); Tan, D. (2010); Wang, M. (2010); Lee, C.-L. (2009); Meddings, D. (2009); Tan, J. (2009)
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BSc: Zou, Y. (2011-2012); Stricker, G. (2010-2011)
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Academic visitor: Liu, H. (2013-)
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Prospective Students and Postdoctoral Research Associates (Expressions of interest are welcome)
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Acknowledgements
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