Adelson, Edward T.
Visual perception, machine vision, image processing.
Agakov, Felix
Probabilistic graphical modeling, statistical learning theory, pattern recognition, prediction, and causality.
Allan, Moray
Computer vision, probabilistic models for image sequences, invariant features.
Amari, Shun-ichi
Neural network learning, information geometry.
Andonie, Razvan
Data structures for computational intelligence.
Andrieu, Christophe
Particle filtering and Monte Carlo Markov Chain methods.
Anthony, Martin
Computational learning theory, discrete mathematics.
Attias, Hagai
Graphical models, variational Bayes, independent factor analysis.
Bach, Francis
Machine learning, kernel methods, kernel independent component analysis and graphical models
Ballard, Dana H.
Visual perception with neural networks.
Bartlett, Marian Stewart
Image analysis with unsupervised learning, face recognition, facial expression analysis.
Beal, Matthew J.
Bayesian inference, variational methods, graphical models, nonparametric Bayes.
Becker, Sue
Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems.
Bengio, Samy
Torch machine learning library, including SVMTorch support vector machine program. Research on mixture models, hidden markov models, multimodal fusion, speaker verification.
Beveridge, Ross
Computer vision, model-based object recognition, face recognition.
Bishop, Chris
Graphical models, variational methods, pattern recognition.
Boutilier, Craig
Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.
Brody, Carlos D.
Somatosensory working memory, computation with action potentials, design of complex stimuli for sensory neurophysiology.
Brown, Andrew
Machine learning of dynamic data, graphical models and Bayesian networks, neural networks.
Bulsari, A.
Neural networks and nonlinear modelling for process engineering.
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