The ability to identify the behavior of people in a home is at the core of Smart Home functionality. Such environments are equipped with sensors that unobtrusively capture informat...
Susan McKeever, Juan Ye, Lorcan Coyle, Chris Bleak...
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
- In Evidence theory, several conditioning rules for updating belief have been proposed, including Dempster's rule of conditioning. The paper views the conditioning rules prop...
View identification is the basal process for solid reconstruction from engineering drawings. A new method is presented to label various views from a section-involved drawing and i...
Abstract— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of rel...
In pattern recognition, data integration is a processing method to combine multiple sources so that the combined result can be more accurate than a single source. Evidence theory ...
Evidence theory has been widely applied to uncertain reasoning. However, the evidence space and hypothesis space are each defined as a fixed set. If the theory is applied to solve...
Qingxiang Wu, Xi Huang, David A. Bell, Guilin Qi, ...
Conventional approach to mathematical description of experiments applies probability theory. Here, another approach is used to express uncertainty based on probability, fuzzy sets...
The paper deals with basic issues regarding the measurement of relevant types of uncertainty and uncertainty-based information in theories that represent imprecise probabilities o...
We propose an evidence theory based anonymity measuring approach for wireless mobile ad-hoc networks. In our approach, an evidence is a measure of the number of detected packets w...