Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal dat...
Abstract— We present the Cognitive Radio (Policy) Language (CoRaL), a new language for expressing policies that govern the behavior of cognitive radios that opportunistically sha...
Daniel Elenius, Grit Denker, Mark-Oliver Stehr, Ru...
Abstract— This paper propose a channel estimation technique for multiple-input multiple-output (MIMO) - orthogonal frequency division multiplexing (OFDM) / time division multiple...
When performed on a classical computer, the simulation of quantum circuits is usually an exponential job. The methodology based on Hardware Description Languages is able to isolat...