This paper describes the application of Bayesian networks to the generation of explanations for the evidence provided by one or more 1-D profiles. Experiments with synthetic images and Cephalograms are described.
KeywordsBayesian Network Belief Revision Vision Computing Synthetic Image Boundary Detection
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