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PRODID:-//AT Content Types//AT Event//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20091029T071500Z
DTEND:20091030T141500Z
DCREATED:20090520T101646Z
UID:ATEvent-3aef4f2ac453ec5f9cc36cf1f90cd8f3
SEQUENCE:0
LAST-MODIFIED:20091027T103116Z
SUMMARY:Machine Learning for Signal Processing
DESCRIPTION:There are many interesting problems that can be addressed 
 by signal processing. With the advent of ever increasing computational
  power\, there are some problems that were either not possible to addr
 ess before or not in the way that it can be addressed now. Separate de
 velopments have taken place in learning algorithms for over more than 
 the last thirty years. Much more recently interesting and innovative r
 esearches have been taking place in the area of Machine Learning for S
 ignal Processing (MLSP). In these lectures\, I wish to tell you about 
 some of these efforts\, relating to some of my own experiences.
LOCATION:Micronova building\, Tietotie 3\, Espoo
PRIORITY:3
TRANSP:0
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