Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
In this paper, we present a full-system reconfigurable computing simulation platform intended to promote innovative new research in reconfigurable computing. Currently, reconfigur...
— This paper proposes a new reconfigurable architecture for multi-media and wireless communications. The proposed architecture addresses three critical design issues with the loo...
The performance and immersiveness of telepresence and teleaction systems critically depend on the quality of the communication between the operator and the teleoperator. High pack...
Julius Kammerl, Peter Hinterseer, Eckehard G. Stei...