The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Abstract. Relationships are an essential part of the design of a database because they capture associations between things. Comparing and integrating relationships from heterogeneo...
We present an approach to classification of biomedical terms based on the information acquired automatically from the corpus of relevant literature. The learning phase consists of...
Abstract: Voter privacy and verifiability are fundamental security concepts for electronic voting. Existing literature on electronic voting provides many definitions and interpreta...
Lucie Langer, Axel Schmidt, Melanie Volkamer, Joha...