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» Using Data Mining to Estimate Missing Sensor Data
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KDD
2006
ACM
240views Data Mining» more  KDD 2006»
16 years 6 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
ICASSP
2008
IEEE
16 years 14 days ago
A compressive beamforming method
Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compres...
Ali Cafer Gurbuz, James H. McClellan, Volkan Cevhe...
ICRA
2000
IEEE
144views Robotics» more  ICRA 2000»
15 years 10 months ago
Automatic Identification of Local Geometric Properties During Teleoperation
During teleoperation, a human operator often receives only 2-D visual feedback from the remote environment. While a variety of kinematic sensors exist on the remote manipulator fo...
Thomas Debus, Pierre E. Dupont, Robert D. Howe
AMDO
2010
Springer
15 years 4 months ago
Multiple-Activity Human Body Tracking in Unconstrained Environments
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab
IPSN
2011
Springer
14 years 9 months ago
Localising speech, footsteps and other sounds using resource-constrained devices
While a number of acoustic localisation systems have been proposed over the last few decades, these have typically either relied on expensive dedicated microphone arrays and works...
Yukang Guo, Mike Hazas