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» Transaction-Level Modeling for Sensor Networks Using SystemC
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TIT
2008
141views more  TIT 2008»
14 years 9 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
158
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ICDE
2002
IEEE
149views Database» more  ICDE 2002»
15 years 11 months ago
GADT: A Probability Space ADT for Representing and Querying the Physical World
Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...
Anton Faradjian, Johannes Gehrke, Philippe Bonnet
84
Voted
CIDM
2007
IEEE
15 years 4 months ago
GAIS: A Method for Detecting Interleaved Sequential Patterns from Imperfect Data
— This paper introduces a novel method, GAIS, for detecting interleaved sequential patterns from databases. A case, where data is of low quality and has errors is considered. Pat...
Marja Ruotsalainen, Timo Ala-Kleemola, Ari Visa
ICANN
2003
Springer
15 years 2 months ago
An Adaptable Gaussian Neuro-Fuzzy Classifier
The concept of semantic and context aware intelligent systems provides a vision for the Information Society where the emphasis lays on computing applications that can sense context...
Minas Pertselakis, Dimitrios S. Frossyniotis, Andr...
ICASSP
2011
IEEE
14 years 1 months ago
Sequential Monte Carlo Radio-Frequency tomographic tracking
Radio Frequency (RF) tomographic tracking is the process of tracking moving targets by analyzing changes of attenuation in wireless transmissions. This paper presents a novel sequ...
Yunpeng Li, Xi Chen, Mark Coates, Bo Yang