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Zhou, Zhi-Hua
07-January-2012
Neural computing, data mining, evolutionary computing, ensemble networks.
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2 -
Zemel, Richard
07-January-2012
Unsupervised learning, machine learning, computational models of neural processing.
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3 -
Yedidia, Jonathan S.
07-January-2012
Statistical methods for inference and learning.
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4 -
Xing, Eric
07-January-2012
Statistical learning, machine learning approaches to computational biology, pattern recognition and control.
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5 -
Wu, Yingnian
07-January-2012
Stochastic generative models for complex visual phenomena.
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6 -
Wiskott, Laurenz
07-January-2012
Face recognition, Invariances in learning and vision.
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7 -
Winther, Ole
07-January-2012
Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction.
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8 -
Williams, Christopher K. I.
07-January-2012
Gaussian processes, image interpretation, graphical models, pattern recognition.
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9 -
Welling, Max
07-January-2012
Unsupervised learning, probabilistic density estimation, machine vision.
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10 -
Weiss, Yair
07-January-2012
Vision, Bayesian methods, neural computation.
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