We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
In this paper we discuss a framework for modeling the 3D lung dynamics of normal and diseased human subjects and visualizing them using an Augmented Reality (AR) based environment...
Anand P. Santhanam, Cali M. Fidopiastis, Paul Dave...
Research on how to reason about correctness properties of software systems using model checking is advancing rapidly. Work on exnite-state models from program source code and on ab...
James C. Corbett, Matthew B. Dwyer, John Hatcliff,...
Hierarchical production planning provides a formal bridge between long-term plans and short-term schedules. A hybrid simulation-based production planning architecture consisting o...
Jayendran Venkateswaran, Young-Jun Son, Albert Jon...