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Fusion of natural language propositions: Bayesian random set framework

Bishop, Adrian; Ristic, Branko


This work concerns an automatic information fusion scheme for state estimation where the inputs (or measurements) that are used to reduce the uncertainty in the state of a subject are in the form of natural language propositions. In particular, we consider spatially referring expressions concerning the spatial location (or state value) of certain subjects of interest with respect to known anchors in a given state space. The probabilistic framework of random-set-based estimation is used as the...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Fusion 2011 - 14th International Conference on Information Fusion


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