Inference in sensor networks: graphical models and particle methods

@inproceedings{Ihler2005InferenceIS,
  title={Inference in sensor networks: graphical models and particle methods},
  author={Alexander T. Ihler},
  year={2005}
}
Sensor networks have quickly risen in importance over the last several years to become an active field of research, full of difficult problems and applications. At the same time, graphical models have shown themselves to be an extremely useful formalism for describing the underlying statistical structure of problems for sensor networks. In part, this is due to a number of efficient methods for solving inference problems defined on graphical models, but even more important is the fact that many… CONTINUE READING
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