• 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 Freitas, Nando Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
  • De vito, Saverio Neural networks for sensor fusion, wireless sensor networks, software modeling, multimedia assets management architectures
  • De Wilde, Philippe Brain inspired models of uncertainty, linguistic and fuzzy uncertainty, uncertainty in dynamic multi-user environments.
  • 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.
  • Sykacek, Peter Brain Computer Interface.
  • 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.

Mali oglasi

Dragan 065/884-8890
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40 korisnika prisutno: 3 registrovanih, 1 skrivenih i 36 senkica. Ulogovani: cesko, galeksic, niko650 (01:08)

Bolje te vidim kad sklopim oči - Milan Višnjić
Uto 16.12.2014 8:31, micha@Umetnost
Jedan od cudnijih snova
Pon 15.12.2014 15:58, jeka1983@Sanovnik forum
Iz moje svaštare
Pon 15.12.2014 12:48, micha@Umetnost
Sanjam stalno bivseg momka. Da li to ista znaci?
Sre 10.12.2014 7:59, danielarmd@Sanovnik forum
Muzicki kutak - pjesme za prijatelje
Sre 10.12.2014 0:11, apprivoiser@Umetnost
Poezija - najlepsi stihovi
Sub 06.12.2014 10:32, Wind@Umetnost
Filigranska kapija od stihova - Dejan Milenković
Sub 06.12.2014 1:28, tragalac@Umetnost
Recepti, jela od mesa - rostiljijada
Sub 06.12.2014 0:45, niko650@Životni stil

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