Computers

Neural networks applied to visual perception and computational modeling of mental disorders.

Statistical signal and image processing, natural image modelling, graphical models.

Vision, Bayesian methods, neural computation.

Gaussian processes, image interpretation, graphical models, pattern recognition.

Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction.

Stochastic generative models for complex visual phenomena.

Statistical learning, machine learning approaches to computational biology, pattern recognition and control.

Unsupervised learning, machine learning, computational models of neural processing.

Neural computing, data mining, evolutionary computing, ensemble networks.

Bayesian theory and inference, error-correcting codes, machine learning.