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D. M. Titterington: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bo Wang, D. M. Titterington
    Variational Bayes Estimation of Mixing Coefficients. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:281-295 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:630-637 [Conf]
  3. Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter
    Filtered Gaussian Processes for Learning with Large Data-Sets. [Citation Graph (0, 0)][DBLP]
    European Summer School on Multi-AgentControl, 2003, pp:128-139 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:40-43 [Conf]
  5. A. P. Dunmur, D. M. Titterington
    On a Modification to the Mean Field EM Algorithm in Factorial Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:431-437 [Conf]
  6. Ernest Fokoué, D. M. Titterington
    Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:50, n:1-2, pp:73-94 [Journal]
  7. Keith Humphreys, D. M. Titterington
    Improving the Mean-Field Approximation in Belief Networks Using Bahadur's Reparameterisation of the Multivariate Binary Distribution. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2000, v:12, n:2, pp:183-197 [Journal]
  8. Bo Wang, D. M. Titterington
    Lack of Consistency of Mean Field and Variational break Bayes Approximations for State Space Models. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2004, v:20, n:3, pp:151-170 [Journal]
  9. A. P. Dunmur, D. M. Titterington
    Computational Bayesian Analysis of Hidden Markov Mesh Models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1997, v:19, n:11, pp:1296-1300 [Journal]
  10. Alison J. Gray, Jim Kay, D. M. Titterington
    An Empirical Study of the Simulation of Various Models used for Images. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1994, v:16, n:5, pp:507-513 [Journal]
  11. Wei Qian, D. M. Titterington
    Bayesian Image Restoration: An Application to Edge-Preserving Surface Recovery. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1993, v:15, n:7, pp:748-752 [Journal]
  12. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1991, v:13, n:4, pp:326-339 [Journal]
  13. Alison J. Gray, Jim Kay, D. M. Titterington
    On the estimation of noisy binary Markov random fields. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1992, v:25, n:7, pp:749-768 [Journal]
  14. G. Archer, D. M. Titterington
    On some Bayesian/regularization methods for image restoration. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1995, v:5, n:7, pp:989-995 [Journal]
  15. Bo Wang, D. M. Titterington
    Convergence and Asymptotic Normality of Variational Bayesian Approximations for Expon. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:577-584 [Conf]

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