Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Several application contexts require the ability to use together and compare different geographic datasets (maps) concerning the same or overlapping areas. This is for example the...
Alberto Belussi, Barbara Catania, Paola Podest&agr...
Abstract. The goal of Model Management is the development of new technologies and mechanisms to support the integration, evolution and matching of models. Such tasks are to be perf...
David Kensche, Christoph Quix, Mohamed Amine Chatt...
Region-based memory management offers several important potential advantages over garbage collection, including real-time performance, better data locality, and more efficient us...