Recent advances on language based software toolkit generation enables performance driven exploration of embedded systems by exploiting the application behavior. There is a need fo...
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
Popping is a major source of visual artifacts in dynamic scenes. To alleviate or avoid it, usually some temporal smoothing scheme is employed or levels of detail are chosen conser...
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...