We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
We propose an ambient communication system that modulates the reverberance applied to music with a single variable in order to communicate non-musical information to the listener....
Topological information plays a fundamental role in the human perception of spatial configurations and is thereby one of the most prominent geographical features in natural langu...
Abstract. In this paper we present a novel tool for body-part segmentation and tracking in the context of multiple camera systems. Our goal is to produce robust motion cues over ti...
Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu H...
Abstract. We introduce a domain-theoretic computational model for multivariable differential calculus, which for the first time gives rise to data types for differentiable functio...