Open Directory - Computers: Artificial Intelligence: Neural Networks: People

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Minsky, Marvin@ (12)

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Computers: Artificial Intelligence: People (154)
Science: Social Sciences: Psychology: Cognitive: People (100)

Adelson, Edward T. - Visual perception, machine vision, image processing.
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.
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.
Beveridge, Ross - Computer vision, model-based object recognition, face recognition.
Bishop, Chris - Graphical models, variational methods, pattern recognition.
Bogaerts, Jan - Blog about NLP using resonating neural networks.
Boutilier, Craig - Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.
Brown, Andrew - Machine learning of dynamic data, graphical models and Bayesian networks, neural networks.
Bulsari, A. - Neural networks and nonlinear modelling for process engineering.
Calvin, William H. - Theoretical neurophysiologist and author of The Cerebral Code, How Brains Think.
Caruana, Rich - Multitask learning.
Cheung, Vincent - Machine learning and probabilistic graphical models for computer vision and computational molecular biology.
Chu, Selina - Artificial intelligence, machine learning, data mining.
Coolen, Ton - Physics of disordered systems. Working on dynamic replica theory for recurrent neural networks.
Cottrell, Garrison W. - An artificial intelligence researcher who is an expert on neural networks.
Dahlem, Markus A. - Neural network models of visual cortex to model neurological symptoms of migraine.
Dayan , Peter - Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.
De Wilde, Philippe - Brain inspired models of uncertainty, linguistic and fuzzy uncertainty, uncertainty in dynamic multi-user environments.
De vito, Saverio - Neural networks for sensor fusion, wireless sensor networks, software modeling, multimedia assets management architectures
Dietterich, Thomas G. - Reinforcement learning, machine learning, supervised learning.
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.
Freeman, William T. - Bayesian perception, computer vision, image processing.
Frey, Brendan J. - Iterative decoding, unsupervised learning, graphical models.
Friedman, Nir - Learning of probabilistic models, applications to computational biology.
Ghahramani, Zoubin - Sensorimotor control, unsupervised learning, probabilistic machine learning.
Grangier, David - Research focusing on Machine Learning, Neural Networks, Kernel Machines, Computer Vision and Speech Processing.
Hansen, Lars Kai - Neural network ensembles, adaptive systems and applications in neuroinformatics.
Herbrich, Ralph - Statistical learning theory, support vector machines and kernel methods.
Heskes, Tom - Learning and generalization in neural networks.
Hinton, Geoffrey E. - Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation.
Honavar, Vasant - Constructive learning, computational learning theory, spatial learning, cognitive modelling, incremental learning.
Hughes, Nicholas - Automated Analysis of ECG.
Jaakkola, Tommi S. - Graphical models, variational methods, kernel methods.
Jordan, Michael I. - Graphical models, variational methods, machine learning, reasoning under uncertainty.
Joshi, Prashant - Computational motor control, biologically realistic circuits, humanoid robots, spiking neurons.
Kearns, Michael - Reinforcement learning, probabilistic reasoning, machine learning, spoken dialogue systems.
Koller, Daphne - Probabilistic models for complex uncertain domains.
Lafferty, John D. - Statistical machine learning, text and natural language processing, information retrieval, information theory.
Lawrence, Neil - Probabilistic models, variational methods.
LeCun, Yann - Handwritten recognition, convolutional networks, image compression. Noted for LeNet.
Leen, Todd - Online learning, machine learning, learning dynamics.
Leow, Wee Kheng - Computer vision, computational olfaction.
Lerner, Uri N. - Hybrid and Bayesian networks.
Li, Zhaoping - Non-linear neural dynamics, visual segmentation, sensory processing.
Maass, Wolfgang - Theory of computation, computation in spiking neurons.
MacKay, David - Bayesian theory and inference, error-correcting codes, machine learning.
Malchiodi, Dario - Machine learning, Learning from uncertain data.
McCallum, Andrew - Machine learning, text and information retrieval and extraction, reinforcement learning.
Meila, Marina - Graphical models, learning in high dimensions, tree networks.
Minka, Thomas P. - Machine learning, computer vision, Bayesian methods.
Muresan, Raul C. - Neural Networks, Spiking Neural Nets, Retinotopic Visual Architectures.
Murphy, Kevin P. - Graphical models, machine learning, reinforcement learning.
Murray, Alan - Neural networks and VLSI hardware.
Murray-Smith, Roderick - Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces.
Neal, Radford - Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.
Oja, Erkki - Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.
Olshausen, Bruno - Visual coding, statistics of images, independent components analysis.
Paccanaro, Alberto - Learning distributed representation of concepts from relational data.
Pearlmutter, Barak - Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging.
Peterson, Leif E. - Researcher at Methodist Hospital Research Institute on classification technology and related fields.
Prashant, Joshi - Computational Neuroscientist. Research interests: reservoir computing, computational motor control, computation with spiking neurons.
Rao, Rajesh P. N. - Models of human and computer vision.
Rasmussen, Carl Edward - Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.
Revow, Michael - Hand-written character recognition.
Roberts, Stephen - Machine learning and medical data analysis, independent component analysis and information theory.
Rovetta, Stefano - Research on Machine Learning/Neural Networks/Clustering. Applications to DNA microarray data analysis/industrial automation/information retrieval. Teaching activities.
Roweis, Sam T. - Speech processing, auditory scene analysis, machine learning.
Russell, Stuart - Many aspects of probabilistic modelling, identity uncertainty, expressive probability models.
Rutkowski, Leszek - Neural networks, fuzzy systems, computational intelligence.
Sahani, Maneesh - Statistical analysis of neural data, experimental design in neuroscience.
Sallans, Brian - Decision making under uncertainty, reinforcement learning, unsupervised learning.
Saul, Lawrence K. - Machine learning, pattern recognition, neural networks, voice processing, auditory computation.
Saund, Eric - Intermediate level structure in vision.
Sejnowski, Terry - Sensory representation in visual cortex, memory representation and adaptive organization of visuo-motor transformations.
Seung, Sebastian - Short-term memory, learning and memory in the brain, computational learning theory.
Shkolnik, Alexander - Neurally controlled robotics.
Storkey, Amos - Belief networks, dynamic trees, image models, image processing, probabilistic methods in astronomy, scientific data mining, Gaussian processes and Hopfield neural networks.
Teh, Yee Whye - Learning and inference in complex probabilistic models.
Tipping, Mike - Varied machine learning and data analysis topics, including Bayesian inference, relevance vector machine, probabilistic principal component analysis and visualisation methods.
Tishby, Naftali - Machine learning; applications to human-computer interaction, vision,neurophysiology, biology and cognitive science.
Versace, Massimiliano - Neural networks applied to visual perception and computational modeling of mental disorders.
Wainwright, Martin - Statistical signal and image processing, natural image modelling, graphical models.
Wallis, Guy - Object recognition, cognitive neuroscience, interaction between vision and motor movements.
Weiss, Yair - Vision, Bayesian methods, neural computation.
Welling, Max - Unsupervised learning, probabilistic density estimation, machine vision.
Williams, Christopher K. I. - Gaussian processes, image interpretation, graphical models, pattern recognition.
Winther, Ole - Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction.
Wiskott, Laurenz - Face recognition, Invariances in learning and vision.
Wu, Yingnian - Stochastic generative models for complex visual phenomena.
Xiaoguang, Rui - Researcher at University of Science and Technology of China. About image annotation, image retrieval, social network analysis, pattern recognition and machine learning.
Xing, Eric - Statistical learning, machine learning approaches to computational biology, pattern recognition and control.
Zemel, Richard - Unsupervised learning, machine learning, computational models of neural processing.
Zhou, Zhi-Hua - Neural computing, data mining, evolutionary computing, ensemble networks.
de Freitas, Nando - Bayesian inference, Markov chain Monte Carlo simulation, machine learning.

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Last update: Monday, July 18, 2011 1:29:35 AM EDT - edit

Open Directory - Computers: Artificial Intelligence: Neural Networks: People

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Open Directory Computers: Artificial Intelligence: People
Open Directory Science: Social Sciences: Psychology: Cognitive: People

Last update: Friday, May 4, 2012 6:05:07 AM EDT - edit

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