Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
In this paper we present a scalable model of a network of Active Queue Management (AQM) routers serving a large population of TCP flows. We present efficient solution techniques...
Yong Liu, Francesco Lo Presti, Vishal Misra, Donal...
In this paper, we generalize the random access game model, and show that it provides a general game-theoretic framework for designing contention based medium access control. We ext...
In this paper, we present a novel system modeling language which targets primarily the development of source-level multiprocessor memory aware optimizations. In contrast to previo...
Robert Pyka, Felipe Klein, Peter Marwedel, Stylian...