We propose a framework for exploiting dimension-reducing random projections in detection and classification problems. Our approach is based on the generalized likelihood ratio te...
Marco F. Duarte, Mark A. Davenport, Michael B. Wak...
— Loss networks provide a powerful tool for the analysis and design of many communication and networking systems. It is well known that a large number of loss networks have produ...
—Geographic routing protocols like GOAFR or GPSR rely on exact location information at the nodes, because when the greedy routing phase gets stuck at a local minimum, they requir...
The trend of increasing speed and complexity in the single-core processor as stated in the Moore’s law is facing practical challenges. As a result, the multi-core processor arch...
Abdullah Kayi, Yiyi Yao, Tarek A. El-Ghazawi, Greg...
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...