: We present a model machinery for the generation of aggregating views of knowledge, the coupling of localized knowledge, and for carrying out metaobservations, which record the dy...
This paper aims to find interested association rules, known as data mining technique, out of the dataset of downloading logs by focusing on the coordinated activity among downloadi...
Structure and motion estimation from long image sequences is a an important and difficult problem in computer vision. We propose a novel approach based on nonlinear and adaptive ...
Abstract. When dealing with real systems, it is unrealistic to suppose that observations can be totally ordered according to their emission dates. The partially ordered observation...
Alban Grastien, Marie-Odile Cordier, Christine Lar...
Abstract-- In this paper we extend the work on dynamic observers for fault diagnosis [1], [2], [3] to timed automata. We study sensor minimization problems with static observers an...