We address the consensus-based distributed linear filtering problem, where a discrete time, linear stochastic process is observed by a network of sensors. We assume that the consen...
One of the upcoming challenges in embedded processing is to incorporate an increasing amount of adaptivity in order to respond to the multifarious constraints induced by today’s...
Lars Bauer, Muhammad Shafique, Stephanie Kreutz, J...
We propose a novel design estimation method for adaptive streaming applications to be implemented on a partially reconfigurable FPGA. Based on experimental results we enable accu...
Ingo Sander, Jun Zhu, Axel Jantsch, Andreas Herrho...
: Motion is an important cue for many applications. Here we propose a solution for estimating motion from a sequence of images using three algorithms, viz., Batch, Recursive and Bo...
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...