Many recent large-scale distributed computing applications utilize spare processor cycles of personal computers that are connected to the Internet. The resulting distributed compu...
In this paper, we introduce self-tuning histograms. Although similar in structure to traditional histograms, these histograms infer data distributions not by examining the data or...
Direct volume rendering of large volumetric data sets on programmable graphics hardware is often limited by the amount of available graphics memory and the bandwidth from main mem...
Martin Kraus, Magnus Strengert, Thomas Klein, Thom...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Lack of time and capital for software testing is an oft encountered problem in most organizations. The plethora of possible test cases for each software component makes software t...
Sunitha Ramanujam, Hany F. El Yamany, Miriam A. M....