We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
We present an automated deduction system for equational reasoning combining two different parallelization/distribution schemes: Strategy-compliant parallelization on the level of ...
Sensor networks are often used to sense the physical world and provide observations for various uses. In hostile environments, it is critical to control the network access to ensur...
This paper addresses the challenge of recognizing dynamic
textures based on their observed visual dynamics.
Typically, the term dynamic texture is used with reference
to image s...
The integration of clusters of computers into computational grids has recently gained the attention of many computational scientists. While considerable progress has been made in ...
Clovis Chapman, Mirco Musolesi, Wolfgang Emmerich,...