Computers Artificial Intelligence Neural Networks People

12)

125 sites in People

Adelson, Edward T. Save
Visual perception, machine vision, image processing.
http://www-bcs.mit.edu/people/adelson/

Agakov, Felix Save
Probabilistic graphical modeling, statistical learning theory, pattern recognition, prediction, and causality.
http://www.inf.ed.ac.uk/people/staff/...

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

Amari, Shun-ichi Save
Neural network learning, information geometry.
http://www.brain.riken.jp/labs/mns/am...

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

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

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

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

Bach, Francis Save
Machine learning, kernel methods, kernel independent component analysis and graphical models
http://www.cs.berkeley.edu/~fbach/

Ballard, Dana H. Save
Visual perception with neural networks.
http://www.cs.rochester.edu/users/fac...

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

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

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

Bengio, Samy Save
Torch machine learning library, including SVMTorch support vector machine program. Research on mixture models, hidden markov models, multimodal fusion, speaker verification.
http://www.idiap.ch/~bengio/index_en....

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

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

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

Brody, Carlos D. Save
Somatosensory working memory, computation with action potentials, design of complex stimuli for sensory neurophysiology.
http://www.cshl.edu/public/SCIENCE/br...

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

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

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

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

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

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

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

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

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

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

De Wilde, Philippe Save
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 Save
Neural networks for sensor fusion, wireless sensor networks, software modeling, multimedia assets management architectures
http://www.afs.enea.it/devito/

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

Dr Hooman Shadnia Save
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://ca.geocities.com/shadnia/

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

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

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

Frohlich, Jochen Save
Overview of neural networks, and explanation of Java classes that implement backpropagation, and Kohonen feature maps.
http://rfhs8012.fh-regensburg.de/~saj...

Fujita, Hajime Save
Partially observable markov decision processes (POMDP), reinforcement learning, multi-agent systems.
http://hawaii.aist-nara.ac.jp/~hajime-f/

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

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

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

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

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

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

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

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

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

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

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

Joseph Wakeling's Neural Systems Research Page Save
Research papers and information on biologically inspired neural networks, brain modelling, AI and related topics. A cross-disciplinary site mixing information from physics, neuroscience, cognitive science and other fields.
http://neuro.webdrake.net/

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

Kakade, Sham Save
Reinforcement learning and conditioning, mathematical models of neural processing.
http://www.gatsby.ucl.ac.uk/~sham

Kali, Szabolcs Save
Learning and memory in the brain, hippocampus.
http://www.gatsby.ucl.ac.uk/~szabolcs

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

Keysers, Daniel Save
Pattern recognition and statistical modelling for object recognition.
http://www-i6.informatik.rwth-aachen....

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

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

Lawrence, Neil Save
Probabilistic models, variational methods.
http://www.dcs.shef.ac.uk/~neil

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

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

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

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

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

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

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

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

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

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

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

Morris, Quaid Save
Machine learning for medical diagnosis and biological data analysis.
http://www.gatsby.ucl.ac.uk/~quaid

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

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

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

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

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

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

Olier, Ivan Save
Artificial intelligence, generative topographic map, missing data.
http://www.lsi.upc.edu/~iaolier/

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

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

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

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

Prashant, Joshi Save
Computational neuroscientist, with main areas of research interest being computational motor control, computational models of olfaction, computation with spiking neurons, neurocomputational basis of working memory and decision making, learning in biologically realistic circuits.
http://www.klab.caltech.edu/~joshi/

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

Rasmussen, Carl Edward Save
Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.
http://www.gatsby.ucl.ac.uk/~edward

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

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

Rovetta, Stefano Save
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/Rovet...

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

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

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

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

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

Sallans, Brian Save
Decision making under uncertainty, reinforcement learning, unsupervised learning.
http://www.gatsby.ucl.ac.uk/~sallans

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

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

Schein, Andrew I. Save
Machine learning approaches to data mining focussing on text mining applications.
http://www.cis.upenn.edu/~ais

Schetinin, Vitaly Save
Biomedical data mining, diagnostic rule extraction and quality control in industry using a variety of techniques.
http://nnlab.tripod.com

Sejnowski, Terry Save
Sensory representation in visual cortex, memory representation and adaptive organization of visuo-motor transformations.
http://www.salk.edu/faculty/sejnowski...

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

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

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

Simard, Patrice Save
Machine learning and generalization.
http://www.research.microsoft.com/~pa...

Smola, Alex J. Save
Kernel methods for prediction and data analysis.
http://mlg.anu.edu.au/~smola/

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

Sutton, Richard S. Save
Reinforcement learning.
http://www-anw.cs.umass.edu/~rich/sut...

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

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

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

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

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

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

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

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

Wiegerinck, Wim Save
Inference in graphical models, mean field and variational approaches.
http://www.mbfys.ru.nl/mbfys/people/w...

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

Winther, Ole Save
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 Save
Face recognition, Invariances in learning and vision.
http://itb.biologie.hu-berlin.de/~wis...

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

Wunsch II, Donald C. Save
Reinforcement Learning, Adaptive Critic Designs, Control, Optimization, Graph Theory, Bioinformatics, Intrusion Detection.
http://www.ece.umr.edu/acil/users/wun...

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

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

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

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

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

de Garis, Hugo Save
Evolvable neural network models, neural networks for programmable hardware, large neural networks.
http://www.iss.whu.edu.cn/degaris/