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SUMMARY:Sparse Feature Learning for Deep Belief Networks - Philipp Hennig 
 (University of Cambridge)
DTSTART:20080128T111500Z
DTEND:20080128T124500Z
UID:TALK10412@talks.cam.ac.uk
CONTACT:Philipp Hennig
DESCRIPTION:This week\, we will discuss "Sparse Feature Learning for Deep 
 Belief Networks":http://books.nips.cc/papers/files/nips20/NIPS2007_1118.pd
 f\nby Ranzato\, Bureau and Le Cun. \n\nIt might also be interesting to loo
 k at at "Yann Le Cun's talk":http://www.iro.umontreal.ca/~lisa/twiki/pub/P
 ublic/DeepLearningWorkshopNIPS2007/deep_learning_lecun.pdf at (M)NIPS\, on
  sparse feature detectors and a paper by nearly the same group of authors\
 , \n"Unsupervised Learning of Invariant Feature Hierarchies with Applicati
 ons to Object Recognition":http://yann.lecun.com/exdb/publis/pdf/ranzato-c
 vpr-07.pdf\,  using a convolutional approach.
LOCATION:TCM Seminar Room\, Cavendish Laboratory\, Department of Physics
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