Existing controller-based approaches for centralized and decentralized POMDPs are based on automata with output known as Moore machines. In this paper, we show that several advant...
Deformable models are used for the segmentation of objects in 3D images by adapting flexible meshes to image structures. The simultaneous segmentation of multiple objects often cau...
Astrid Franz, Robin Wolz, Tobias Klinder, Cristian...
—Current industrial automation systems are virtually unprotected against attacks on IT security at field level, especially if an attacker is able to connect physically to field...
The main objective of this paper is to provide an efficient tool for delineating brain tumors in three-dimensional magnetic resonance images. To achieve this goal, we use basically...
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...