People
Links
Wainwright, Martin
http://www.eecs.berkeley.edu/~martinw/
Statistical signal and image processing, natural image modelling, graphical models.
Beal, Matthew J.
http://www.cs.toronto.edu/~beal
Bayesian inference, variational methods, graphical models.
Bulsari, A.
Neural networks and nonlinear modelling for process engineering.
Agakov, Felix
http://www.inf.ed.ac.uk/people/staff/Felix_Agakov.html
Probabilistic graphical modeling, statistical learning theory, pattern recognition, prediction, and causality.
Andrieu, Christophe
http://www.stats.bris.ac.uk/~maxca/
Particle filtering and Monte Carlo Markov Chain methods.
Anthony, Martin
http://www.maths.lse.ac.uk/Personal/martin/
Computational learning theory, discrete mathematics.
Versace, Massimiliano
Neural networks applied to visual perception and computational modeling of mental disorders.
Joshi, Prashant
http://www.igi.tugraz.at/joshi
Computational motor control, biologically realistic circuits, humanoid robots, spiking neurons.
Pearlmutter, Barak
http://www-bcl.cs.may.ie/~barak/
Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging.
Fujita, Hajime
http://hawaii.aist-nara.ac.jp/~hajime-f/
Partially observable markov decision processes (POMDP), reinforcement learning, multi-agent systems.
Chu, Selina
http://www-scf.usc.edu/~selinach
Artificial intelligence, machine learning, data mining.
Schein, Andrew I.
Machine learning approaches to data mining focussing on text mining applications.
Frohlich, Jochen
http://rfhs8012.fh-regensburg.de/~saj39122/jfroehl/diplom/e-index.html
Overview of neural networks, and explanation of Java classes that implement backpropagation, and Kohonen feature maps.
Andonie, Razvan
Data structures for computational intelligence.
Allan, Moray
Computer vision, probabilistic models for image sequences, invariant features.