The aim of this project is the automatic conversion of query terms in one language into their equivalents in a second, historically related, language, so that documents in the sec...
Abstract. In this paper we present an efficient technique to obtain accurate semantic classification on the pixel level capable of integrating various modalities, such as color, ed...
Stefan Kluckner, Thomas Mauthner, Peter M. Roth, H...
This paper contributes to the evolving body of knowledge pertaining to the study of digitally-enabled social networks, their usage, and their effects on people, organization, and s...
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
We propose a generic information-theoretic distinguisher for differential side-channel analysis. Our model of side-channel leakage is a refinement of the one given by Standaert et ...