Bayesian and Dempster-Shafer fusion
نویسندگان
چکیده
منابع مشابه
Sensor Fusion Using Dempster-Shafer Theory
Context-sensing for context-aware HCI challenges the traditional sensor fusion methods with dynamic sensor configuration and measurement requirements commensurate with human perception. The Dempster-Shafer theory of evidence has uncertainty management and inference mechanisms analogous to our human reasoning process. Our Sensor Fusion for Contextaware Computing Project aims to build a generaliz...
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This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayesian fusions can be of great efficiency, particularly when using hidden Markov models. On the other hand, we give some examples showing that there are situations in which the Dempster-Shafer fusion can be usefully integ...
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We propose a novel approach for credit card fraud detection, which combines evidences from current as well as past behavior. The fraud detection system (FDS) consists of four components, namely, rule-based filter, Dempster–Shafer adder, transaction history database and Bayesian learner. In the rule-based component, we determine the suspicion level of each incoming transaction based on the exten...
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Les chaînes de Markov cachées (CMC) (X,Y ) ont été récemment généralisées aux chaînes de Markov Triplet (CMT), lesquelles gardent les mêmes pouvoirs de restauration du processus caché X à partir du processus observé Y . Par ailleurs, dans une CMC (X,Y ) la loi a posteriori de X, qui est de Markov, peut être vue comme une fusion de Dempster–Shafer (fusion DS) de sa loi a priori avec une probabil...
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ژورنال
عنوان ژورنال: Sadhana
سال: 2007
ISSN: 0256-2499,0973-7677
DOI: 10.1007/s12046-007-0023-9