Graphical Models and Variational Methods. A set of 8 tutorials given at the Machine Learning Summer School on Berder Island, 2004. [PDF]

Here are three photographs taken of Berder Island from a Mooney light aircraft during the summer school: [Berder-1], [Berder-2], [Berder-3].

Generative versus Discriminative Methods in Computer Vision. Invited Keynote talk at ICPR 2004, Cambridge, presented on 24 August, 2004. [Powerpoint]

Machine Learning Techniques for Computer Vision. A four hour tutorial presented at the Eighth European Conference on Computer Vision (ECCV), Prague, May 2004.

Part 1: Graphical Models [Powerpoint]

Part 2: Unupervised Learning [Powerpoint]

Part 3: Supervised Learning [Powerpoint]

Recent Advances in Bayesian Inference Techniques. Invited talk at the SIAM International Conference on Data Mining, Florida, April 2004. [Powerpoint]

Learning in Vision: Discriminative Methods. Contribution to a Short Course on Learning and Vision presented at ICCV 2003 in collaboration with Andrew Blake, Bill Freeman and Paul Viola. [Powerpoint]

Latent Variables, Mixtures Models, and EM. Tutorial presented at the British Computer Society Summer School on Pattern Recognition, Exeter, July 2003. [Powerpoint]

Probabilistic Graphical Models. NATO Advances Study Institute on Learning Theory and Practice, Leuven, July 2002. Lecture 1 [PDF] Lecture 2 [PDF]

Satellites, Wind and Weather: A Case Study in the Application of Data Mining to Meteorology. Talk given to the Institute of Adaptive and Neural Computation in the University of Edinburgh as part of the postgraduate course in Data Mining and Exploration [PDF]