Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
This paper tackles an important aspect of the variational problem underlying active contours: optimization by gradient flows. Classically, the definition of a gradient depends d...
Guillaume Charpiat, Pierre Maurel, Jean-Philippe P...
Abstract— As the technologies of autonomic computing become more prevalent, it is essential to develop methodologies for testing their dynamic self-management operations. Self-ma...
Tariq M. King, Alain E. Ramirez, Rodolfo Cruz, Pet...
Level set models combine a low-level volumetric representation, the mathematics of deformable implicit surfaces, and powerful, robust numerical techniques to produce a novel appro...
Ken Museth, David E. Breen, Ross T. Whitaker, Sean...