We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
The perception-based theory of probabilistic reasoning which is outlined in this paper is not in the traditional spirit. Its principal aim is to lay the groundwork for a radical e...
Abstract. Ordered Choice Logic Programming (OCLP) allows for preferencebased decision-making with multiple alternatives and without the burden of any form of negation. This complet...
A number of prioritized variants of Reiter’s default logic have been described in the literature. In this paper, we introduce two natural principles for preference handling and s...
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...