In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Abstract Multiresolution models support the interactive visualization of large volumetric data through selective refinement, an operation which permits to focus resolution only on...
Emanuele Danovaro, Leila De Floriani, Paola Magill...
We describe a method to match 3D polygonal geometry models using their internal skeleton graphs. These graphs carry information about the overall shape of the model. In order to m...
There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
Many simulation systems are standalone, running only on a desktop and having limited capabilities to integrate with other technologies such as company databases, workflow engines,...