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81 -
Wiskott, Laurenz
Face recognition, Invariances in learning and vision.
http://itb.biologie.hu-berlin.de/~wiskott/homepage.html
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82 -
Keysers, Daniel
Pattern recognition and statistical modelling for object recognition.
http://www-i6.Informatik.RWTH-Aachen.DE/~keysers/
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83 -
Hopfield, John J.
Neural networks, collective behaviour of systems of simple processors. Most noted for Hopfield networks.
http://neuron.princeton.edu/~john/
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84 -
Freeman, William T.
Bayesian perception, computer vision, image processing.
http://www.merl.com/people/freeman
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85 -
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/
[more pages from this URL]
86 -
Agakov, Felix
Probabilistic graphical modeling, statistical learning theory, pattern recognition, prediction, and causality.
http://www.inf.ed.ac.uk/people/staff/Felix_Agakov.html
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87 -
Heskes, Tom
Learning and generalization in neural networks.
http://www.cs.ru.nl/~tomh/
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88 -
Pearlmutter, Barak
Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging.
http://www-bcl.cs.may.ie/~barak/
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89 -
Murray, Alan
Neural networks and VLSI hardware.
http://www.ee.ed.ac.uk/~afm/
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90 -
Rasmussen, Carl Edward
Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.
http://www.gatsby.ucl.ac.uk/~edward
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