Abstract The increasing complexity of heterogeneous systems-on-chip, SoC, and distributed embedded systems makes system optimization and exploration a challenging task. Ideally, a ...
Arne Hamann, Marek Jersak, Kai Richter, Rolf Ernst
In this paper, we apply the complexity?regularization principle to Poisson imaging. We formulate a natural distortion measure in image space, and present a connection between comp...
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
Automata on infinite objects are extensively used in system specification, verification, and synthesis. While some applications of the automata-theoretic approach have been wel...
— This paper addresses the problem of simultaneous localization and mapping (SLAM) by a mobile robot. The SLAM problem is defined as a global optimization problem in which the o...