In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...
In this study, we investigate the task scheduling problem in heterogeneous computing environments and propose a novel scheduling algorithm, called the Artificial Immune System wit...
We propose a novel variant of the (1 + 1)-CMA-ES that updates the distribution of mutation vectors based on both successful and unsuccessful trial steps. The computational costs o...
In this paper, we propose a new tunable index scheme, called iMinMax, that maps points in high dimensional spaces to single dimension values determined by their maximum or minimu...
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...