We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
The assessment of routing protocols for wireless networks is a difficult task, because of the networks’ highly dynamic behavior and the absence of benchmarks. However, some of ...
In many application areas, including piracy detection, software debugging and maintenance, situations arise in which there is a need for comparing two versions of a program that d...
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
We propose a scheme to introduce directionality in the Random Walker algorithm for image segmentation. In particular, we extend the optimization framework of this algorithm to com...