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...
Model-based development of highly complex software systems leads to large models. Storing them in repositories offers the possibility to work with these models in a distributed env...
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...
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods suer...
In this paper, we introduce two methods for the registration of multiple range images when a prior estimate of the transformationbetween views is not available and the overlap bet...