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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    Title :

    Hypothesis management for information fusion


    Contributors:
    Jones, E.K. (author) / Denis, N. (author) / Hunter, D. (author)


    Publication date :

    2003-06-01


    Size :

    448343 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Hypothesis management for information fusion

    Jones, E.K. / Denis, N. / Hunter, D. | IEEE | 2002


    Hypothesis Management for Information Fusion

    Jones, E.K. | Online Contents | 2003


    Hypothesis Management for Information Fusion

    Jones, E. / Nikolaos, N. / Hunter, D. et al. | British Library Conference Proceedings | 2002


    Multi-Hypothesis Database for Large-Scale Data Fusion

    McDaniel, D. / International Society of Information Fusion / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002