In this paper, the problem of residual variance estimation is examined. The problem is analyzed in a general setting which covers non-additive heteroscedastic noise under non-iid s...
Abstract. We provide an interactive method for knowledge acquisition combining approaches from description logic and formal concept analysis. Based on present data, hypothetical ru...
Abstract - We propose a new method for image segmentation based on a variational regularization algorithm for image denoising. We modify the Rudin-Osher-Fatemi (ROF) model in [1] b...
This paper presents two optimalizations of standard parsing techniques applied to Czech as a representative of a free word order language with rich morphology. Our approach is bas...
We propose an automatic region growing technique for the segmentation of the cerebral cortex and white matter in MRI data. Our method exploits general anatomical knowledge and uses...
Karin Engel, Frederik Maucksch, Anja Perlich, Matt...