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Decreased complexity and increased problem specificity of bayesian fusion by local approaches

: Sander, J.; Beyerer, J.

Postprint urn:nbn:de:0011-n-844200 (159 KByte PDF)
MD5 Fingerprint: e77fc7af13ba837f9238736579dd02f2
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Created on: 28.8.2009

Verband Deutscher Elektrotechniker e.V. -VDE-, Berlin; Informationstechnische Gesellschaft -ITG-; Forschungsgesellschaft für Angewandte Naturwissenschaften -FGAN-; Institute of Electrical and Electronics Engineers -IEEE-:
11th International Conference on Information Fusion. Proceedings. CD-ROM : Cologne, Germany, June 30 - July 03, 2008
Piscataway, NJ: IEEE, 2008
ISBN: 978-3-00-024883-2
International Conference on Information Fusion (Fusion) <11, 2008, Cologne>
Conference Paper, Electronic Publication
Fraunhofer IITB ( IOSB) ()
bayesian fusion; local approach; setup; coarsening; granularity; restriction; small world; Likelihood ratio; misleading evidence; agent based fusion architecture

We present local Bayesian fusion approaches for the reduction of storage and computational costs of Bayesian fusion
which is detached from fixed modelling assumptions. Using local approaches, Bayesian fusion is not performed in detail on the whole space that is spanned by the quantities of interest but only locally - at least in regions that are task relevant with a high probability. These regions are determined using common bounds for the probability of misleading evidence. Coarsening and restriction techniques are then used to create local Bayesian setups in a top-down or a more general bottom-up manner. Distributed local Bayesian fusion is realizable via an agent based fusion architecture.