Web Directory

» Adelson, Edward T.
   Visual perception, machine vision, image processing.
   http://web.mit.edu/persci/people/adelson/

» Allan, Moray
   Computer vision, probabilistic models for image sequences, invariant features.
   http://www.morayallan.com/

» Amari, Shun-ichi
   Neural network learning, information geometry.
   http://www.brain.riken.jp/labs/mns/amari/home-E.html

» Andonie, Razvan
   Data structures for computational intelligence.
   http://www.cwu.edu/~andonie/

» Andrieu, Christophe
   Particle filtering and Monte Carlo Markov Chain methods.
   http://www.stats.bris.ac.uk/~maxca/

» Anthony, Martin
   Computational learning theory, discrete mathematics.
   http://www.maths.lse.ac.uk/Personal/martin/

» Attias, Hagai
   Graphical models, variational Bayes, independent factor analysis.
   http://research.goldenmetallic.com/

» Bach, Francis
   Machine learning, kernel methods, kernel independent component analysis and graphical models
   http://www.di.ens.fr/~fbach/

» Ballard, Dana H.
   Visual perception with neural networks.
   http://www.cs.rochester.edu/users/faculty/dana

» Bartlett, Marian Stewart
   Image analysis with unsupervised learning, face recognition, facial expression analysis.
   http://ergo.ucsd.edu/~marni/

» Beal, Matthew J.
   Bayesian inference, variational methods, graphical models, nonparametric Bayes.
   http://www.cse.buffalo.edu/faculty/mbeal

» Becker, Sue
   Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems.
   http://www.science.mcmaster.ca/Psychology/sb.html

» Beveridge, Ross
   Computer vision, model-based object recognition, face recognition.
   http://www.cs.colostate.edu/~ross/

» Bishop, Chris
   Graphical models, variational methods, pattern recognition.
   http://research.microsoft.com/~cmbishop/

» Boutilier, Craig
   Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.
   http://www.cs.toronto.edu/~cebly/

» Brown, Andrew
   Machine learning of dynamic data, graphical models and Bayesian networks, neural networks.
   http://www.ecs.soton.ac.uk/people/adb

» Bulsari, A.
   Neural networks and nonlinear modelling for process engineering.
   http://www.abo.fi/~abulsari

» Calvin, William H.
   Theoretical neurophysiologist and author of The Cerebral Code, How Brains Think.
   http://faculty.washington.edu/wcalvin/

» Caruana, Rich
   Multitask learning.
   http://www.cs.cmu.edu/~caruana/

» Cheung, Vincent
   Machine learning and probabilistic graphical models for computer vision and computational molecular biology.
   http://www.psi.toronto.edu/~vincent/

» Chu, Selina
   Artificial intelligence, machine learning, data mining.
   http://www-scf.usc.edu/~selinach

» Coolen, Ton
   Physics of disordered systems. Working on dynamic replica theory for recurrent neural networks.
   http://www.mth.kcl.ac.uk/~tcoolen/

» Cottrell, Garrison W.
   An artificial intelligence researcher who is an expert on neural networks.
   http://charlotte.ucsd.edu/~gary/

» Dahlem, Markus A.
   Neural network models of visual cortex to model neurological symptoms of migraine.
   http://www.migraine-aura.org/EN/Markus_Dahlem.html

» Dayan , Peter
   Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.
   http://www.gatsby.ucl.ac.uk/~dayan/

» De Wilde, Philippe
   Brain inspired models of uncertainty, linguistic and fuzzy uncertainty, uncertainty in dynamic multi-user environments.
   http://www.macs.hw.ac.uk/~pdw/

» De vito, Saverio
   Neural networks for sensor fusion, wireless sensor networks, software modeling, multimedia assets management architectures
   http://www.afs.enea.it/devito/

» Dietterich, Thomas G.
   Reinforcement learning, machine learning, supervised learning.
   http://cs.oregonstate.edu/~tgd/

» Dr Hooman Shadnia
   Dedicated to artificial neural networks and their applications in medical research and computational chemistry. Offers a quick tutorial on theory on ANNs written in Persian.
   http://www.shadnia.com

» Freeman, William T.
   Bayesian perception, computer vision, image processing.
   http://people.csail.mit.edu/billf/wtf.html

» Frey, Brendan J.
   Iterative decoding, unsupervised learning, graphical models.
   http://www.psi.utoronto.ca/~frey/

» Friedman, Nir
   Learning of probabilistic models, applications to computational biology.
   http://www.cs.huji.ac.il/~nir/

» Frohlich, Jochen
   Overview of neural networks, and explanation of Java classes that implement backpropagation, and Kohonen feature maps.
   http://rfhs8012.fh-regensburg.de/~saj39122/jfroehl/diplom/e-index.html

» Garcia, Christophe
   Computer vision, image analysis, neural networks.
   http://www.csd.uoc.gr/~cgarcia

» Ghahramani, Zoubin
   Sensorimotor control, unsupervised learning, probabilistic machine learning.
   http://www.gatsby.ucl.ac.uk/~zoubin

» Hansen, Lars Kai
   Neural network ensembles, adaptive systems and applications in neuroinformatics.
   http://eivind.imm.dtu.dk/staff/lkhansen/lkhansen.html

» Herbrich, Ralph
   Statistical learning theory, support vector machines and kernel methods.
   http://www.research.microsoft.com/users/rherb/

» Heskes, Tom
   Learning and generalization in neural networks.
   http://www.cs.ru.nl/~tomh/

» Hinton, Geoffrey E.
   Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation.
   http://www.cs.toronto.edu/~hinton/

» Honavar, Vasant
   Constructive learning, computational learning theory, spatial learning, cognitive modelling, incremental learning.
   http://www.cs.iastate.edu/~honavar/

» Hughes, Nicholas
   Automated Analysis of ECG.
   http://www.robots.ox.ac.uk/~nph/

» Jaakkola, Tommi S.
   Graphical models, variational methods, kernel methods.
   http://www.ai.mit.edu/people/tommi

» Jensen, Finn Verner
   Graphical models, belief propagation.
   http://www.cs.auc.dk/~fvj

» Jordan, Michael I.
   Graphical models, variational methods, machine learning, reasoning under uncertainty.
   http://www.cs.berkeley.edu/~jordan/

» Joshi, Prashant
   Computational motor control, biologically realistic circuits, humanoid robots, spiking neurons.
   http://www.igi.tugraz.at/joshi

» Kearns, Michael
   Reinforcement learning, probabilistic reasoning, machine learning, spoken dialogue systems.
   http://www.cis.upenn.edu/~mkearns/

» Koller, Daphne
   Probabilistic models for complex uncertain domains.
   http://ai.stanford.edu/~koller/

» Lafferty, John D.
   Statistical machine learning, text and natural language processing, information retrieval, information theory.
   http://www.cs.cmu.edu/~lafferty/

» Lawrence, Neil
   Probabilistic models, variational methods.
   http://www.cs.man.ac.uk/~neill/

» Lawrence, Steve
   Information dissemination and retrieval, machine learning and neural networks.
   http://labs.google.com/people/lawrence/

» LeCun, Yann
   Handwritten recognition, convolutional networks, image compression. Noted for LeNet.
   http://yann.lecun.com/

» Leen, Todd
   Online learning, machine learning, learning dynamics.
   http://www.cse.ogi.edu/~tleen

» Leow, Wee Kheng
   Computer vision, computational olfaction.
   http://www.comp.nus.edu.sg/~leowwk

» Lerner, Uri N.
   Hybrid and Bayesian networks.
   http://ai.stanford.edu/~uri/

» Li, Zhaoping
   Non-linear neural dynamics, visual segmentation, sensory processing.
   http://www.gatsby.ucl.ac.uk/~zhaoping

» Maass, Wolfgang
   Theory of computation, computation in spiking neurons.
   http://www.igi.tugraz.at/maass/

» MacKay, David
   Bayesian theory and inference, error-correcting codes, machine learning.
   http://www.inference.phy.cam.ac.uk/mackay/

» Malchiodi, Dario
   Machine learning, Learning from uncertain data.
   http://homes.dsi.unimi.it/~malchiod/

» McCallum, Andrew
   Machine learning, text and information retrieval and extraction, reinforcement learning.
   http://www.cs.umass.edu/~mccallum/

» Meila, Marina
   Graphical models, learning in high dimensions, tree networks.
   http://www.stat.washington.edu/mmp/

» Minka, Thomas P.
   Machine learning, computer vision, Bayesian methods.
   http://research.microsoft.com/~minka/

» Muresan, Raul C.
   Neural Networks, Spiking Neural Nets, Retinotopic Visual Architectures.
   http://www.raulmuresan.home.ro/

» Murphy, Kevin P.
   Graphical models, machine learning, reinforcement learning.
   http://www.cs.berkeley.edu/~murphyk

» Murray, Alan
   Neural networks and VLSI hardware.
   http://www.ee.ed.ac.uk/~afm/

» Murray-Smith, Roderick
   Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces.
   http://www.dcs.gla.ac.uk/~rod/

» Neal, Radford
   Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.
   http://www.cs.toronto.edu/~radford

» Oja, Erkki
   Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.
   http://www.cis.hut.fi/oja/

» Olshausen, Bruno
   Visual coding, statistics of images, independent components analysis.
   http://redwood.berkeley.edu/bruno

» Opper, Manfred
   Statistical physics, information theory and applied probability and applications to machine learning and complex systems.
   http://www.ncrg.aston.ac.uk/People/opperm/Welcome.html

» Paccanaro, Alberto
   Learning distributed representation of concepts from relational data.
   http://homes.gersteinlab.org/people/alberto/

» Pearlmutter, Barak
   Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging.
   http://www-bcl.cs.may.ie/~barak/

» Rao, Rajesh P. N.
   Models of human and computer vision.
   http://www.cs.washington.edu/homes/rao/

» Rasmussen, Carl Edward
   Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.
   http://learning.eng.cam.ac.uk/carl/

» Revow, Michael
   Hand-written character recognition.
   http://www.cs.toronto.edu/~revow/

» Roberts, Stephen
   Machine learning and medical data analysis, independent component analysis and information theory.
   http://www.robots.ox.ac.uk/~sjrob

» Rovetta, Stefano
   Research on Machine Learning/Neural Networks/Clustering. Applications to DNA microarray data analysis/industrial automation/information retrieval. Teaching activities.
   http://www.disi.unige.it/person/RovettaS/

» Roweis, Sam T.
   Speech processing, auditory scene analysis, machine learning.
   http://www.cs.toronto.edu/~roweis/

» Russell, Stuart
   Many aspects of probabilistic modelling, identity uncertainty, expressive probability models.
   http://www.cs.berkeley.edu/~russell/

» Rutkowski, Leszek
   Neural networks, fuzzy systems, computational intelligence.
   http://www.kik.pcz.czest.pl/~rutkowski/

» Saad, David
   Neural computing, error-correcting codes and cryptography using statistical and statistical mechanics techniques.
   http://www.ncrg.aston.ac.uk/People/saadd/Welcome.html

» Sahani, Maneesh
   Statistical analysis of neural data, experimental design in neuroscience.
   http://www.gatsby.ucl.ac.uk/~maneesh/

» Sallans, Brian
   Decision making under uncertainty, reinforcement learning, unsupervised learning.
   http://members.chello.at/hoebertz-sallans/sallans/index.html

» Saul, Lawrence K.
   Machine learning, pattern recognition, neural networks, voice processing, auditory computation.
   http://www.cs.ucsd.edu/~saul/

» Saund, Eric
   Intermediate level structure in vision.
   http://www2.parc.com/spl/members/saund/

» Sejnowski, Terry
   Sensory representation in visual cortex, memory representation and adaptive organization of visuo-motor transformations.
   http://www.salk.edu/faculty/faculty_details.php?id=48

» Seung, Sebastian
   Short-term memory, learning and memory in the brain, computational learning theory.
   http://hebb.mit.edu/people/seung/

» Shkolnik, Alexander
   Neurally controlled robotics.
   http://web.mit.edu/shkolnik/www/

» Shuurmans, Dale
   Computational learning, complex probability modelling.
   http://www.lpaig.uwaterloo.ca/~dale/

» Storkey, Amos
   Belief networks, dynamic trees, image models, image processing, probabilistic methods in astronomy, scientific data mining, Gaussian processes and Hopfield neural networks.
   http://homepages.inf.ed.ac.uk/amos/

» Sykacek, Peter
   Brain Computer Interface.
   http://www.robots.ox.ac.uk/~psyk/

» Teh, Yee Whye
   Learning and inference in complex probabilistic models.
   http://www.cs.utoronto.ca/~ywteh

» Tipping, Mike
   Varied machine learning and data analysis topics, including Bayesian inference, relevance vector machine, probabilistic principal component analysis and visualisation methods.
   http://www.miketipping.com

» Tishby, Naftali
   Machine learning; applications to human-computer interaction, vision,neurophysiology, biology and cognitive science.
   http://www.cs.huji.ac.il/~tishby/

» Versace, Massimiliano
   Neural networks applied to visual perception and computational modeling of mental disorders.
   http://www.maxversace.com

» Wainwright, Martin
   Statistical signal and image processing, natural image modelling, graphical models.
   http://www.eecs.berkeley.edu/~martinw/

» Wallis, Guy
   Object recognition, cognitive neuroscience, interaction between vision and motor movements.
   http://www.uq.edu.au/~uqgwalli/

» Weiss, Yair
   Vision, Bayesian methods, neural computation.
   http://www.cs.huji.ac.il/~yweiss/

» Welling, Max
   Unsupervised learning, probabilistic density estimation, machine vision.
   http://www.cs.utoronto.ca/~welling

» Williams, Christopher K. I.
   Gaussian processes, image interpretation, graphical models, pattern recognition.
   http://www.dai.ed.ac.uk/homes/ckiw/

» Winther, Ole
   Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction.
   http://eivind.imm.dtu.dk/staff/winther/

» Wiskott, Laurenz
   Face recognition, Invariances in learning and vision.
   http://itb.biologie.hu-berlin.de/~wiskott/homepage.html

» Wu, Yingnian
   Stochastic generative models for complex visual phenomena.
   http://www.stat.ucla.edu/~ywu/

» Xing, Eric
   Statistical learning, machine learning approaches to computational biology, pattern recognition and control.
   http://www.cs.cmu.edu/~epxing/

» Yedidia, Jonathan S.
   Statistical methods for inference and learning.
   http://www.merl.com/people/yedidia/

» Zemel, Richard
   Unsupervised learning, machine learning, computational models of neural processing.
   http://www.cs.utoronto.ca/~zemel/

» Zhou, Zhi-Hua
   Neural computing, data mining, evolutionary computing, ensemble networks.
   http://cs.nju.edu.cn/zhouzh/

» de Freitas, Nando
   Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
   http://www.cs.ubc.ca/~nando/