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PRODID:IEEE vTools.Events//EN
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TZID:America/Montreal
BEGIN:DAYLIGHT
DTSTART:20180311T030000
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DTSTART:20171105T010000
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BEGIN:VEVENT
DTSTAMP:20171103T175731Z
UID:F9CC61D8-C0A3-11E7-A02F-0050568D7F66
DTSTART;TZID=America/Montreal:20171117T110000
DTEND;TZID=America/Montreal:20171117T120000
DESCRIPTION:The Montreal Chapter of the IEEE Signal Processing (SP) Society
  cordially invites you to attend the following talk\, to be given by Prof.
  Sarah Ostadabbas\, Technical Co-Chair of Symposium on Signal Processing a
 nd Machine Learning in Large Medical Datasets from Electrical and Computer
  Engineering Department\, Northeastern University\, Boston\, MA\, USA\, on
  Friday November 17th 2017\, from 11h00 to 12h00pm at Concordia University
  (EV Building\, Room 11.119).\n\nSpeaker(s): Dr. Sarah Ostadabbas\, \, Dr.
  Sarah Ostadabbas\, \n\nRoom: 11.119\, Bldg: EV-Biulding\, 1515 Saint-Cath
 erine St. West\, Montreal\, Quebec\, Canada\, H3G 2W1
LOCATION:Room: 11.119\, Bldg: EV-Biulding\, 1515 Saint-Catherine St. West\,
  Montreal\, Quebec\, Canada\, H3G 2W1
ORGANIZER:arash.mohammadi@concordia.ca
SEQUENCE:8
SUMMARY:In-Bed Pose Estimation: Deep Learning with Shallow Dataset
URL;VALUE=URI:https://events.vtools.ieee.org/m/48216
X-ALT-DESC:Description: <br /><p><span style="color: #616161\; text-transfo
 rm: none\; text-indent: 0px\; letter-spacing: normal\; font-family: format
 a\, Verdana\, sans-serif\; font-size: 14px\; font-style: normal\; font-wei
 ght: normal\; word-spacing: 0px\; float: none\; display: inline !important
 \; white-space: normal\; orphans: 2\; widows: 2\; background-color: #fffff
 f\; font-variant-ligatures: normal\; font-variant-caps: normal\; -webkit-t
 ext-stroke-width: 0px\; text-decoration-style: initial\; text-decoration-c
 olor: initial\;">The Montreal Chapter of the IEEE Signal Processing (SP) S
 ociety cordially invites you to attend the following talk\, to be given by
 &nbsp\;</span><strong style="color: #616161\; text-transform: none\; text-
 indent: 0px\; letter-spacing: normal\; font-family: formata\, Verdana\, sa
 ns-serif\; font-size: 14px\; font-style: normal\; font-weight: bold\; word
 -spacing: 0px\; white-space: normal\; box-sizing: border-box\; orphans: 2\
 ; widows: 2\; background-color: #ffffff\; font-variant-ligatures: normal\;
  font-variant-caps: normal\; -webkit-text-stroke-width: 0px\; text-decorat
 ion-style: initial\; text-decoration-color: initial\;">Prof. Sarah Ostadab
 bas\,</strong><span style="color: #616161\; text-transform: none\; text-in
 dent: 0px\; letter-spacing: normal\; font-family: formata\, Verdana\, sans
 -serif\; font-size: 14px\; font-style: normal\; font-weight: normal\; word
 -spacing: 0px\; float: none\; display: inline !important\; white-space: no
 rmal\; orphans: 2\; widows: 2\; background-color: #ffffff\; font-variant-l
 igatures: normal\; font-variant-caps: normal\; -webkit-text-stroke-width: 
 0px\; text-decoration-style: initial\; text-decoration-color: initial\;"> 
 Technical Co-Chair of </span><strong style="color: #616161\; text-transfor
 m: none\; text-indent: 0px\; letter-spacing: normal\; font-family: formata
 \, Verdana\, sans-serif\; font-size: 14px\; font-style: normal\; font-weig
 ht: bold\; word-spacing: 0px\; white-space: normal\; box-sizing: border-bo
 x\; orphans: 2\; widows: 2\; background-color: #ffffff\; font-variant-liga
 tures: normal\; font-variant-caps: normal\; -webkit-text-stroke-width: 0px
 \; text-decoration-style: initial\; text-decoration-color: initial\;">Symp
 osium on Signal Processing and Machine Learning in Large Medical Datasets<
 /strong><span style="color: #616161\; text-transform: none\; text-indent: 
 0px\; letter-spacing: normal\; font-family: formata\, Verdana\, sans-serif
 \; font-size: 14px\; font-style: normal\; font-weight: normal\; word-spaci
 ng: 0px\; float: none\; display: inline !important\; white-space: normal\;
  orphans: 2\; widows: 2\; background-color: #ffffff\; font-variant-ligatur
 es: normal\; font-variant-caps: normal\; -webkit-text-stroke-width: 0px\; 
 text-decoration-style: initial\; text-decoration-color: initial\;"> from E
 lectrical and Computer Engineering Department\, Northeastern University\, 
 Boston\, MA\, USA\, on Friday&nbsp\;November 17th 2017\, from 11h00 to 12h
 00pm at Concordia University (EV Building\, Room <span style="color: #2121
 21\; text-transform: none\; text-indent: 0px\; letter-spacing: normal\; fo
 nt-family: 'Segoe UI'\, 'Segoe WP'\, 'Segoe UI WPC'\, Tahoma\, Arial\, san
 s-serif\; font-size: 13.33px\; font-style: normal\; font-weight: normal\; 
 word-spacing: 0px\; float: none\; display: inline !important\; white-space
 : normal\; orphans: 2\; widows: 2\; background-color: #ffffff\; font-varia
 nt-ligatures: normal\; font-variant-caps: normal\; -webkit-text-stroke-wid
 th: 0px\; text-decoration-style: initial\; text-decoration-color: initial\
 ;">11.119</span>).</span></p>
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