1205 search results - page 83 / 241 » Quantization for distributed estimation using neural network... |
167
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TIT
2008
15 years 4 months ago
2008
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...
154
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DMIN
2006
15 years 5 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
109
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IWDC
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. In ad hoc networks, node mobility causes the network topology to change dynamically over time, which complicates important tasks such as routing and flow control. We pro...
142
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ICIAP
2005
ACM
16 years 4 months ago
2005
ACM
This paper presents an efficient implementation of moving least square(MLS) approximation for 3D surface reconstruction. The smoothness of the MLS is mainly determined by the weigh...
130
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PRL
1998
15 years 3 months ago
1998
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...