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 1 - Zhou, Zhi-Hua Browse Website open in new window
   
  07-January-2012 
Neural computing, data mining, evolutionary computing, ensemble networks.



 
 2 - Zemel, Richard Browse Website open in new window
   
  07-January-2012 
Unsupervised learning, machine learning, computational models of neural processing.



 
   
  07-January-2012 
Statistical methods for inference and learning.



 
 4 - Xing, Eric Browse Website open in new window
   
  07-January-2012 
Statistical learning, machine learning approaches to computational biology, pattern recognition and control.



 
 5 - Wu, Yingnian Browse Website open in new window
   
  07-January-2012 
Stochastic generative models for complex visual phenomena.



 
   
  07-January-2012 
Face recognition, Invariances in learning and vision.



 
 7 - Winther, Ole Browse Website open in new window
   
  07-January-2012 
Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction.



 
   
  07-January-2012 
Gaussian processes, image interpretation, graphical models, pattern recognition.



 
 9 - Welling, Max Browse Website open in new window
   
  07-January-2012 
Unsupervised learning, probabilistic density estimation, machine vision.



 
 10 - Weiss, Yair Browse Website open in new window
   
  07-January-2012 
Vision, Bayesian methods, neural computation.


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