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» Using Data Mining to Estimate Missing Sensor Data
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AAAI
2008
15 years 8 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
TSP
2008
167views more  TSP 2008»
15 years 6 months ago
Decentralized Adaptive Filtering Algorithms for Sensor Activation in an Unattended Ground Sensor Network
Abstract--We present decentralized adaptive filtering algorithms for sensor activation control in an unattended ground sensor network (UGSN) comprised of ZigBee-enabled nodes. Node...
Vikram Krishnamurthy, Michael Maskery, Gang George...
PKDD
2005
Springer
96views Data Mining» more  PKDD 2005»
15 years 11 months ago
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Bruce Knuteson, Ricardo Vilalta
ICDM
2008
IEEE
235views Data Mining» more  ICDM 2008»
16 years 19 days ago
DECK: Detecting Events from Web Click-Through Data
In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
ICASSP
2009
IEEE
16 years 28 days ago
Audio-assisted trajectory estimation in non-overlapping multi-camera networks
We present an algorithm to improve trajectory estimation in networks of non-overlapping cameras using audio measurements. The algorithm fuses audiovisual cues in each camera’s ...
Murtaza Taj, Andrea Cavallaro