D. M. Titterington

D. Mike Titterington

	2009
24		Jing-Hao Xue, D. Mike Titterington: Interpretation of hybrid generative/discriminative algorithms. Neurocomputing 72(7-9): 1648-1655 (2009)
	2008
23		Jing-Hao Xue, D. M. Titterington: Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes". Neural Processing Letters 28(3): 169-187 (2008)
22		Jing-Hao Xue, D. Mike Titterington: Do unbalanced data have a negative effect on LDA? Pattern Recognition 41(5): 1558-1571 (2008)
21		Jing-Hao Xue, D. M. Titterington: Short note on two output-dependent hidden Markov models. Pattern Recognition Letters 29(9): 1424-1426 (2008)
	2007
20		C. A. McGrory, D. M. Titterington: Variational approximations in Bayesian model selection for finite mixture distributions. Computational Statistics & Data Analysis 51(11): 5352-5367 (2007)
19		Alexander N. Dolia, Christopher J. Harris, John Shawe-Taylor, D. Mike Titterington: Kernel ellipsoidal trimming. Computational Statistics & Data Analysis 52(1): 309-324 (2007)
	2006
18		Alexander N. Dolia, Tijl De Bie, Christopher J. Harris, John Shawe-Taylor, D. M. Titterington: The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces. ECML 2006: 630-637
	2005
17		D. Mike Titterington: Some Aspects of Latent Structure Analysis. SLSFS 2005: 69-83
16		J. Q. Shi, Roderick Murray-Smith, D. M. Titterington: Hierarchical Gaussian process mixtures for regression. Statistics and Computing 15(1): 31-41 (2005)
	2004
15		Bo Wang, D. M. Titterington: Variational Bayes Estimation of Mixing Coefficients. Deterministic and Statistical Methods in Machine Learning 2004: 281-295
14		Kazuyuki Tanaka, D. M. Titterington: Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation. ICPR (2) 2004: 40-43
13		Bo Wang, D. M. Titterington: Convergence and Asymptotic Normality of Variational Bayesian Approximations for Expon. UAI 2004: 577-584
12		Bo Wang, D. M. Titterington: Lack of Consistency of Mean Field and Variational break Bayes Approximations for State Space Models. Neural Processing Letters 20(3): 151-170 (2004)
	2003
11		Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter: Filtered Gaussian Processes for Learning with Large Data-Sets. European Summer School on Multi-AgentControl 2003: 128-139
10		Ernest Fokoué, D. M. Titterington: Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation. Machine Learning 50(1-2): 73-94 (2003)
	2000
9		Keith Humphreys, D. M. Titterington: Improving the Mean-Field Approximation in Belief Networks Using Bahadur's Reparameterisation of the Multivariate Binary Distribution. Neural Processing Letters 12(2): 183-197 (2000)
	1997
8		A. P. Dunmur, D. M. Titterington: Computational Bayesian Analysis of Hidden Markov Mesh Models. IEEE Trans. Pattern Anal. Mach. Intell. 19(11): 1296-1300 (1997)
	1996
7		A. P. Dunmur, D. M. Titterington: On a Modification to the Mean Field EM Algorithm in Factorial Learning. NIPS 1996: 431-437
	1995
6		G. Archer, D. M. Titterington: On some Bayesian/regularization methods for image restoration. IEEE Transactions on Image Processing 5(7): 989-995 (1995)
	1994
5		Alison J. Gray, Jim Kay, D. M. Titterington: An Empirical Study of the Simulation of Various Models used for Images. IEEE Trans. Pattern Anal. Mach. Intell. 16(5): 507-513 (1994)
	1993
4		Wei Qian, D. M. Titterington: Bayesian Image Restoration: An Application to Edge-Preserving Surface Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 15(7): 748-752 (1993)
	1992
3		Alison J. Gray, Jim Kay, D. M. Titterington: On the estimation of noisy binary Markov random fields. Pattern Recognition 25(7): 749-768 (1992)
	1991
2		Alan M. Thompson, John C. Brown, Jim Kay, D. M. Titterington: A Study of Methods of Choosing the Smoothing Parameter in Image Restoration by Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 13(4): 326-339 (1991)
	1989
1		D. Mike Titterington: An alternative stochastic supervisor in discriminant analysis. Pattern Recognition 22(1): 91-95 (1989)

Coauthor Index

1	G. Archer	[6]
2	Tijl De Bie	[18]
3	John C. Brown	[2]
4	Alexander N. Dolia	[18] [19]
5	A. P. Dunmur	[7] [8]
6	Ernest Fokoué	[10]
7	Alison J. Gray	[3] [5]
8	Christopher J. Harris	[18] [19]
9	Keith Humphreys	[9]
10	Jim Kay	[2] [3] [5]
11	C. A. McGrory	[20]
12	Roderick Murray-Smith	[11] [16]
13	Barak A. Pearlmutter	[11]
14	Wei Qian	[4]
15	John Shawe-Taylor	[18] [19]
16	J. Q. Shi	[16]
17	Jian Qing Shi	[11]
18	Kazuyuki Tanaka	[14]
19	Alan M. Thompson	[2]
20	Bo Wang	[12] [13] [15]
21	Jing-Hao Xue	[21] [22] [23] [24]

Colors in the list of coauthors