Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Abstract—This paper addresses the problem of execution time estimation for tasks in a software pipeline independent of the application structure or the underlying architecture. A...
In computer architecture, caches have primarily been viewed as a means to hide memory latency from the CPU. Cache policies have focused on anticipating the CPU’s data needs, and...
Jeffrey Stuecheli, Dimitris Kaseridis, David Daly,...
Numerous studies have shown that datacenter computers rarely operate at full utilization, leading to a number of proposals for creating servers that are energy proportional with r...
Dennis Abts, Michael R. Marty, Philip M. Wells, Pe...
Increasingly, models of the world are directly built from images. The paper discusses a number of recent developments that try to push the enveloppe of what image-based modeling c...
Luc J. Van Gool, D. Vandemeulen, Gregor A. Kalbere...