D. Mike Titterington
List of publications from the DBLP Bibliography Server - FAQ
2009 | ||
---|---|---|
24 | EE | Jing-Hao Xue, D. Mike Titterington: Interpretation of hybrid generative/discriminative algorithms. Neurocomputing 72(7-9): 1648-1655 (2009) |
2008 | ||
23 | EE | 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 | EE | Jing-Hao Xue, D. Mike Titterington: Do unbalanced data have a negative effect on LDA? Pattern Recognition 41(5): 1558-1571 (2008) |
21 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | D. Mike Titterington: Some Aspects of Latent Structure Analysis. SLSFS 2005: 69-83 |
16 | EE | 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 | EE | Bo Wang, D. M. Titterington: Variational Bayes Estimation of Mixing Coefficients. Deterministic and Statistical Methods in Machine Learning 2004: 281-295 |
14 | EE | 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 | EE | Bo Wang, D. M. Titterington: Convergence and Asymptotic Normality of Variational Bayesian Approximations for Expon. UAI 2004: 577-584 |
12 | EE | 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 | EE | 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 | EE | A. P. Dunmur, D. M. Titterington: On a Modification to the Mean Field EM Algorithm in Factorial Learning. NIPS 1996: 431-437 |
1995 | ||
6 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | D. Mike Titterington: An alternative stochastic supervisor in discriminant analysis. Pattern Recognition 22(1): 91-95 (1989) |
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] |