In this paper a new technique is introduced for automatically building recognisable moving 3D models of individual people. Realistic modelling of people is essential for advanced ...
Adrian Hilton, Daniel Beresford, Thomas Gentils, R...
Abstract. This paper considers piecewise affine models of genetic regulatory networks and focuses on the problem of detecting switches among different modes of operation in gene e...
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
A nonsmooth (hybrid) 3-D mathematical model of a snake robot (without wheels) is developed and experimentally validated in this paper. The model is based on the framework of nonsmo...
Aksel Andreas Transeth, Remco I. Leine, Christoph ...