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DTSTART:20180311T070000
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DTSTART:20171105T060000
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UID:69c232f9c13dc
DTSTART;TZID=America/Toronto:20180320T160000
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TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20180320T160000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-seminar-l
 earning-sparse-wavelet-representations
LOCATION:RCH - J.R. Coutts Engineering Lecture Hall 200 University Avenue W
 est 207 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Seminar: Learning Sparse Wavelet Representations
CLASS:PUBLIC
DESCRIPTION:Speaker: Daniel Recoskie\, PhD candidate\n\nWe propose a method
  for learning wavelet filters directly from data.\nWe accomplish this by f
 raming the discrete wavelet transform as a\nmodified convolutional neural 
 network. We introduce an autoencoder\nwavelet transform network that is tr
 ained using gradient descent.
DTSTAMP:20260324T064513Z
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