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202
Voted
SIGMOD
2008
ACM
16 years 2 months ago
2008
ACM
In wireless sensor networks (WSNs), energy consumption and data quality are two important issues due to limited energy resources and the need for accurate data. In this scenario, i...
135
Voted
NIPS
2008
15 years 4 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
126
Voted
SENSYS
2003
ACM
15 years 8 months ago
2003
ACM
The widespread deployment of sensor networks is on the horizon. One of the main challenges in sensor networks is to process and aggregate data in the network rather than wasting e...
138
Voted
IPSN
2004
Springer
15 years 8 months ago
2004
Springer
This paper investigates the problem of designing decentralized representations to support monitoring and inferences in sensor networks. State-space models of physical phenomena su...
108
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...