While it seems that interdisciplinary collaboration in a visualization course is (theoretically) a very good idea, the practical undergoing is problematic: in a single semester co...
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...
We present a novel technique for image inpainting, the problem of filling-in missing image parts. Image inpainting is ill-posed and we adopt a probabilistic model-based approach ...
The use of good random numbers is essential to the integrity of many mission-critical systems. However, when such systems are replicated for Byzantine fault tolerance, a serious i...
—Embedded speaker recognition in mobile devices could involve several ergonomic constraints and a limited amount of computing resources. Even if they have proved their efficienc...