The efficient management of large collections of fusion hypotheses presents a critical challenge for scaling high-level information fusion systems to solve large problems. We motivate this challenge in the context of two Alphatech research projects, and discuss several partial solutions. A recurring theme is the exploitation of space-efficient, factored representations of multiple hypotheses to enable an efficient search for good hypotheses.


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    Titel :

    Hypothesis management for information fusion


    Beteiligte:
    Jones, E.K. (Autor:in) / Denis, N. (Autor:in) / Hunter, D. (Autor:in)


    Erscheinungsdatum :

    01.06.2003


    Format / Umfang :

    448343 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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