We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...
Value prediction breaks data dependencies in a program thereby creating instruction level parallelism that can increase program performance. Hardware based value prediction techni...
ÐThe detection of smooth curves in images and their completion over gaps are two important problems in perceptual grouping. In this study, we examine the notion of completion ener...
For large problems the ATMS often becomes the main resource consumer in any reasoning system. We propose an architecture (the 2vATMS) that combines the advantages of two techniques...
Answer set programs with time predicates are useful to model systems whose properties depend on time, like for example gene regulatory networks. A state of such a system at time po...
Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chri...