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SUMMARY:Summaries on mobile phones: Context learning and data simplificati
 on - Rik Sarkar (University of Edinburgh)
DTSTART:20150514T140000Z
DTEND:20150514T150000Z
UID:TALK58807@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:This talk will cover some recent work on sensing and informati
 on processing with smartphones on the phone\, and real in time. The first 
 part of the talk will be on sensing the "context" of a mobile phone: wheth
 er the user is indoor or outdoor. Our method uses a semi-supervised framew
 ork and learns from environmental data in real time. It uses only low powe
 r sensors and is thus lightweight and suitable for use on a phone.\n\nThe 
 second part will be on simplifying sensor data\, with focus on locations a
 nd trajectories. GPS and other sensors can produce large volumes of data t
 hat can be costly to store\, transmit and process. We show a method that u
 ses topological persistence to filter redundant data points on-the-fly\, a
 nd computes multi-resolution summaries. \n\n\nBio: Dr. Rik Sarkar is a Lec
 turer at University of Edinburgh. His main research interests are Sensor a
 nd mobile networks\, Social networks\, Computational geometry and Algorith
 ms. He completed PhD from Stony Brook University\, USA and M.Tech from IIT
  Bombay\, India. http://homepages.inf.ed.ac.uk/rsarkar/\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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