Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Renewed motives for space exploration have inspired NASA to work toward the goal of establishing a virtual presence in space, through heterogeneous eets of robotic explorers. Info...
Nicola Muscettola, P. Pandurang Nayak, Barney Pell...
The behavior of routing protocols during convergence is critical as it impacts end-to-end performance. Network convergence is particularly important in BGP, the current interdomai...
Anthony J. Lambert, Marc-Olivier Buob, Steve Uhlig
Abstract. We propose a non-parametric diffeomorphic image registration algorithm based on Thirion's demons algorithm. The demons algorithm can be seen as an optimization proce...
Tom Vercauteren, Xavier Pennec, Aymeric Perchant, ...