Abstract. We study the integration of two prominent fields of logicbased AI: action formalisms and non-monotonic reasoning. The resulting framework allows an agent employing an ac...
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot h...
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
We address the problem of segmenting a sequence of images of natural scenes into disjoint regions that are characterized by constant spatio-temporal statistics. We model the spati...
Gianfranco Doretto, Daniel Cremers, Paolo Favaro, ...