We present an algorithmic framework for learning multiple related tasks. Our framework exploits a form of prior knowledge that relates the output spaces of these tasks. We present...
Abstract An improvement over the previously known disclosure attack is presented that allows, using statistical methods, to effectively deanonymize users of a mix system. Furtherm...
In this paper, we study the importance of languages for the specification of algorithms in high performance Grid computing. We present one such language, the Algorithm Definition ...
Michele Guidolin, Thomas Brady, Alexey L. Lastovet...
Abstract— We consider the classical task of transporting resources from source to home by a group of autonomous robots. The robots use ant-like trail following to navigate betwee...
The recent advances in non-scalable video encoding brought by the H.264/AVC standard offered significant improvements in terms of rate-distortion performance. This paper proposes ...