Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Arc consistency filtering is widely used in the framework of binary constraint satisfaction problems: with a low complexity, inconsistency may be detected,and domains are filtered...
— Legacy systems that do not conform to the norms and regulations imposed by recent safety standards have to be upgraded to meet safety requirements. In this paper, we describe a...
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
Abstract. Though ontologies are widely used to solve some specific interoperability problems, there is no specific ontology defining what interoperability actually is, independentl...
Yannick Naudet, Thibaud Latour, Kevin Hausmann, Sv...