Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. In this paper, we propose a new technique based on paral...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
Software Process Improvement needs sound empirical data gathered from a range of empirical studies such as controlled experiments or case studies. However, conducting empirical st...
Abstract. We are designing new data mining techniques on gene expression data, more precisely inductive querying techniques that extract a priori interesting bi-sets, i.e., sets of...
Accurate intrinsic camera calibration is essential to any computer vision task that involves image based measurements. Given its crucial role with respect to precision, a large nu...
: In several industry scenarios, it is often the case that an existing reference workflow has to be adapted according to specific context factors, which might even change at runtim...