Monitoring data streams in a distributed system is the focus of much research in recent years. Most of the proposed schemes, however, deal with monitoring simple aggregated values...
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
In this paper we present an approach for quantitative analysis of application-specific dataflow architectures. The approach allows the designer to rate design alternatives in a qu...
Bart Kienhuis, Ed F. Deprettere, Kees A. Vissers, ...
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
— Since the complexity of MIMO detection algorithms is exponential, the K–best algorithm is often chosen for efficient VLSI implementation. This detection problem is often view...