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SUMMARY:Energy-efficient collaborative context sensing on mobile phones.
DTSTART:20120713T100000
DTSTAMP:20260503T125707Z
UID:a185db0018f60ddc17b0cd786c6ab38d42737514f09cd54e1db198d0
CATEGORIES:Conferences - Seminars
DESCRIPTION:Mr. Julien Eberle\nEDIC Candidacy Exam:\nExam president: Prof.
  Michael C. Gastpar\nThesis director: Prof. Karl Aberer\nThesis co-directo
 r: Dr Olivier Dousse\nCo-examiner: Prof. Matthias Grossglauser\n\nResearch
  Proposal\n\nEnabling large-scale human activity inference on smartphones 
 using community similarity networks\nby Nicholas D. Lane et al.\nBalancing
  energy\, latency and accuracy for mobile sensor data classification by Da
 vid Chu et al.\nEnergy-efficient trajectory tracking for mobile devices by
  Mikkel Baun Kjærgaard et al.
LOCATION:BC 129 https://plan.epfl.ch/?room==BC%20129
STATUS:CONFIRMED
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