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» Data-Driven Processing in Sensor Networks
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VTC
2007
IEEE
107views Communications» more  VTC 2007»
15 years 4 months ago
Random Switched Beamforming for Uplink Wireless Sensor Networks
– Integration of beamforming to sensors is very beneficial for a reduction of transmission power consumption and for improvement of the overall system performance. Unfortunately,...
Mohammed Elmusrati, Vesa Hasu
INFOCOM
2008
IEEE
15 years 4 months ago
Light-Weight Contour Tracking in Wireless Sensor Networks
Abstract—We study the problem of contour tracking with binary sensors, an important problem for monitoring spatial signals and tracking group targets. In particular, we track the...
Xianjin Zhu, Rik Sarkar, Jie Gao, Joseph S. B. Mit...
ICASSP
2008
IEEE
15 years 4 months ago
Interactive environmental sensing: Signal and image processing challenges
Networked embedded acoustic sensors and imagers allow scientists to observe biological and environmental phenomena at high sampling rates and multiple scales. Such sampling can cr...
Michael Allen, Eric Graham, Shaun Ahmadian, Tetsun...
NIPS
2008
14 years 11 months ago
Sparse Convolved Gaussian Processes for Multi-output Regression
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
Mauricio Alvarez, Neil D. Lawrence
ICDE
2006
IEEE
134views Database» more  ICDE 2006»
15 years 3 months ago
Processing High-Volume Stream Queries on a Supercomputer
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
Erik Zeitler, Tore Risch