Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on the use of a distance measure ...
Fusion of images in the presence of noise is a challenging problem. Conventional fusion methods focus on aggregating prominent image features, which usually result in noise enhanc...
Although many supertree methods have been developed in the last few decades, none has been shown to produce more accurate trees than the popular Matrix Representation with Parsimon...
M. Shel Swenson, Rahul Suri, C. Randal Linder, Tan...
In the domain of collaborative diagnosis which joined with multi-resource, on account of equipment's complexity and diagnosis resource's heterogeneous, diagnosis task all...
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...