Many of the existing techniques for impact set computation in change propagation and regression testing are approximate for the sake of efficiency. A way to improve precision is ...
Abstract. A fully automated method for quantitative analysis of dynamic contrast-enhanced MRI data acquired with low and high field scanners, using spin echo and gradient echo seq...
Olga Kubassova, Mikael Boesen, Roger D. Boyle, Mar...
Among the many methods for modeling cortical interactions using EEG and MEG data, Multivariate Autoregressive(MVAR) functional connectivity measures have the advantage of providin...
Today, embedded processors are expected to be able to run complex, algorithm-heavy applications that were originally designed and coded for general-purpose processors. As a result...
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...