Distributed Online self-localization and tracking in sensor networks
Recursive Maximum Likelihood (RML) and Expectation Maximization (EM) are a popular methodologies for estimating unknown static parameters in state-space models. We describe how a completely decentralized version of RML and EM can be implemented in dynamic graphical models through the propagation of...
| Главные авторы: | , , , |
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| Формат: | Conference item |
| Опубликовано: |
2007
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