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179
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ICASSP
2009
IEEE
16 years 1 months ago
2009
IEEE
We introduce a distributed adaptive estimation algorithm operating in an ideal fully connected sensor network. The algorithm estimates node-specific signals at each node based on...
175
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ICASSP
2008
IEEE
16 years 1 months ago
2008
IEEE
We consider state estimation of a Markov stochastic process using an ad hoc wireless sensor network (WSN) based on noisy linear observations. Due to power and bandwidth constraint...
170
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ADBIS
1998
Springer
15 years 11 months ago
1998
Springer
In order to answer efficiently range queries in 2-d R-trees, first we sort queries by means of a space filling curve, then we group them together, and finally pass them for process...
187
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EACL
2006
ACL Anthology
15 years 8 months ago
2006
ACL Anthology
In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they show (a) an inherent super linear complexity and (...
167
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NN
2006
Springer
15 years 6 months ago
2006
Springer
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...