Pattern recognition and statistical modelling for object recognition.
Models of human and computer vision.
Machine learning; applications to human-computer interaction, vision,neurophysiology, biology and cognitive science.
Research on Machine Learning/Neural Networks/Clustering. Applications to DNA microarray data analysis/industrial automation/information retrieval. Teaching activities.
Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
Machine learning, pattern recognition, neural networks, voice processing, auditory computation.
Handwritten recognition, convolutional networks, image compression. Noted for LeNet.
Reinforcement learning, probabilistic reasoning, machine learning, spoken dialogue systems.
Belief networks, dynamic trees, image models, image processing, probabilistic methods in astronomy, scientific data mining, Gaussian processes and Hopfield neural networks.
Speech processing, auditory scene analysis, machine learning.