BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.4//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:����ԭ��
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:STANDARD
DTSTART:20171105T020000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RDATE:20181104T020000
TZNAME:EST
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20180311T020000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.319276.field_event_date.0@www.wright.edu
DTSTAMP:20260219T203932Z
CREATED:20180419T203259Z
DESCRIPTION:Committee:  Drs. Derek Doran\, Advisor\, Michael Raymer\, TK Pr
 asad\, and William Romine (Department of Biological Sciences)ABSTRACT:This
  paper presents a framework for intrinsic point of interest discovery from
  trajectory databases. Intrinsic points of interest are regions of a geosp
 atial area that are innately derivable by the spatial and temporal aspects
  of trajectory data. In contrast with other definitions of a point of inte
 rest\, which often require a knowledge base or external location data\, in
 trinsic points of interest are completely data-driven. The framework unifi
 es recent developments from the field of density level-set estimation\, ap
 plied density-based clustering techniques\, and common practices in spatia
 l point pattern analysis\, offering a more theoretically grounded framewor
 k towards how a point of interest may be defined.Experiments are performed
  comparing the results across several modern approaches to POI discovery u
 nder thousands of parameter settings\, and a marked improvement in fidelit
 y by the proposed approach is shown on both synthetic and real world data 
 sets.
DTSTART;TZID=America/New_York:20180426T120000
DTEND;TZID=America/New_York:20180426T140000
LAST-MODIFIED:20180420T133215Z
LOCATION:405 Russ Engineering - Tait Conference Room
SUMMARY:Masters Thesis Defense “Discovering Intrinsic Points of Interest fr
 om Spatial Trajectory Data Source” By Matthew Piekenbrock
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 discovering-intrinsic-points-interest-spatial-trajectory-data-source%E2%80
 %9D
END:VEVENT
END:VCALENDAR