This paper proposes a novel dewarping technique for document images of bound volumes. This technique is a kind of model fitting techniques for estimating the warp of each text li...
This paper presents Kato, a tool that implements a novel class of optimizations that are inspired by program slicing for imperative languages but are applicable to analyzable decl...
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...
This paper addresses the quantitative analysis of gossiping protocols. In contrast to existing approaches which are entirely based on the simulation of the individual nodes' ...
Thomas Krieger, Martin Riedl, Johann Schuster, Mar...