In model driven development (MDD), specifying transformations between models at various levels of ion can be a complex task. Specifying transformations for pervasive system featur...
Devon M. Simmonds, Raghu Reddy, Robert B. France, ...
This paper investigates relative precision and optimality of analyses for concurrent probabilistic systems. Aiming at the problem at the heart of probabilistic model checking ? com...
In this paper we present a novel approach to model the search space for optimal set data types in network component realisations. The main objective is to arrive at power efficie...
This work is intended to give some ideas to extract motion information from an image sequence. A directional energy is defined in terms of the 1-D Hermite transform coefficients o...
We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...
Edward Snelson, Carl Edward Rasmussen, Zoubin Ghah...