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In the Transferable Belief Model, belief functions are usually combined using the unnormalized Dempster’s rule (also called the TBM conjunctive rule). This rule is used because of its intuitive appeal and because it has received formal justifications as opposed to the many other rules of combination that have been proposed in the literature. This article confirms the singularity of the TBM conjunctive...
The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the major points of criticism this formalism has to face. Various approximation algorithms have been suggested that aim at overcoming this difficulty. This paper presents an improved practical algorithm through reducing the number of focal elements in the belief function involved. In this proposed algorithm,...
This paper presents an information fusion strategy for digital photograph semi-automatic indexing according to people's identities. The final goal is to help users to annotate their photos in the way of people's identities. We combine the data obtained from face detector, face recognizer and from gender recognizer. Our fusion process is named -FUSINDEX-and, it has been integrated in a Web-based application...
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