An overview of the classification-based least squares trained filters on picture quality improvement algorithms is presented. For each algorithm, the training process is unique and...
This paper provides means for performance evaluation of a queue with Poisson Pareto Burst Process (PPBP) input. Because of the long range dependent nature of the PPBP, straightfor...
Abstract. We study algorithms for computing stable models of propositional logic programs and derive estimates on their worst-case performance that are asymptotically better than t...
—In this demo we present a performance evaluation testbed for peer-to-peer gaming overlays. It consists of a 3D first person shooter game that is designed to run in a simulated ...
Max Lehn, Tonio Triebel, Cchritof Leng, Alejandro ...
Abstract-- This paper presents an adaptive technique for compensating manufacturing and environmental variability in subthreshold circuits using "canary flip-flop" that c...