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    Chapter and Conference Paper

    From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm

    Factorial Hierarchical Hidden Markov Models (FHHMM) provides a powerful way to endow an autonomous mobile robot with efficient map-building and map-navigation behaviors. However, the inference mechanism in FHH...

    Sylvain Gelly, Nicolas Bredeche in Abstraction, Reformulation and Approximati… (2005)

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    Chapter and Conference Paper

    Abstracting Visual Percepts to Learn Concepts

    To efficiently identify properties from its environment is an essential ability of a mobile robot who needs to interact with humans. Successful approaches to provide robots with such ability are based on ad-ho...

    Jean-Daniel Zucker, Nicolas Bredeche in Abstraction, Reformulation, and Approximat… (2002)