We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
In this paper we study the issue of progress for distributed timed systems modeled as the parallel composition of timed automata. We clarify the requirements of discrete progress (...
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
Analysis of Symbolic Executions Aws Albarghouthi1 , Arie Gurfinkel2 , Ou Wei1,3 , and Marsha Chechik1 1 Department of Computer Science, University of Toronto, Canada 2 Software Eng...
Aws Albarghouthi, Arie Gurfinkel, Ou Wei, Marsha C...
In this contribution we focus on the calibration of very long image sequences from a hand-held camera that samples the viewing sphere of a scene. View sphere sampling is important...
Reinhard Koch, Marc Pollefeys, Benno Heigl, Luc J....