We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
This paper addresses the problem of interactively modeling large street networks. We introduce a modeling framework that uses tensor fields to guide the generation of a street gra...
Guoning Chen, Gregory Esch, Peter Wonka, Pascal M&...
Monitoring is a task of collecting measurements that reflect the state of a system. Administration is a collection of tasks for control and manipulation of computer systems. Monito...
In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
One of the main techniques used by software renderers to produce stunningly realistic images is programmable shading—executing an arbitrarily complex program to compute the colo...
Anselmo Lastra, Steven Molnar, Marc Olano, Yulan W...