We apply the Dempster Shafer theory of evidence to the spatial correlation problem. Usually the correlation problem is solved using a Bayesian approach by evaluating the likelihood function for each possible assignment and choosing the maximum likelihood function as the correct assignment. A simulation comparison is then made between the decisions arrived at using the Dempster Shafer theory and those found using the (traditional) Bayesian approach. The results show (for the cases examined) that the decisions made by both theories are identical. Since the Dempster Shafer theory is much more computationally intensive than the Bayesian approach and there is no gain (or loss) in the outcome, one should be much more appreciative of the more traditional Bayesian solution to the problem.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of Dempster-Shafer theory of evidence to the correlation problem


    Beteiligte:
    Morelli, M. (Autor:in) / DeSimone, A.J. (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    234213 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Application of Dempster-Shafer Theory of Evidence to the Correlation Problem

    DeSimone, T. / Morelli, M. / International Society of Information Fusion et al. | British Library Conference Proceedings | 2002


    Human Face Recognition using Dempster-Shafer Theory

    Ip, H. H. S. / Ng, J. M. C. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    The application of Dempster-Shafer theory for landmine detection

    Mudigonda, N.R. / Kacelenga, R. / Erickson, D. | Tema Archiv | 2003



    Human face recognition using Dempster-Shafer theory

    Ip, H.H.S. / Ng, J.M.C. | IEEE | 1994