The probabilistic formalism of quantum physics is said to provide a sound basis for building a principled information retrieval framework. Such a framework can be based on the not...
Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas...
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
The paper presents a motion estimation method based on data assimilation in a dynamic model, named Image Model, expressing the physical evolution of a quantity observed on the ima...
Etienne G. Huot, Isabelle Herlin, Nicolas Mercier,...
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
—Rehabilitation robots, together with vision and audio systems form the multimodal environment for exercising the person in a number of ways, unavoidably influencing the physiolo...
Marko Munih, Domen Novak, Jaka Ziherl, Andrej Olen...