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Communication Dans Un Congrès Année : 2012

New Online EM algorithms for general Hidden Markov Models. Application to the SLAM problem

Résumé

In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times and use Sequential Monte Carlo methods to compute approximations of ltering distribu- tions. In this paper, the performance of these algorithms are highlighted in the chal- lenging framework of Simultaneous Localization and Mapping.
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Dates et versions

hal-02286254 , version 1 (13-09-2019)

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  • HAL Id : hal-02286254 , version 1

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Sylvain Le Corff, Gersende Fort, Eric Moulines. New Online EM algorithms for general Hidden Markov Models. Application to the SLAM problem. LVA-ICA, Mar 2012, Tel-Aviv, Israel. ⟨hal-02286254⟩
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