Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Accurate recognition of blurred images is a practical but hitherto mostly overlooked problem. In this paper, we quantify the level of noise in blurred images and propose a new modi...
The application of functional networks in the automotive industry is still very slowly adopted into their development processes. Reasons for this are manifold. A functional networ...
We present a schema to build one way functions from a family of Boolean gates. Moreover, we relate characteristics of these Boolean gate truth tables to properties of the derived ...
Modelling adaptive Web applications is a difficult and complex task. Usually, the development of general system functionality and context adaptation is intertwined. However, adapt...
Hubert Baumeister, Alexander Knapp, Nora Koch, Gef...