We dene a preferential semantics based on stable generated models for a very general class of temporal deductive databases. We allow two kinds of temporal information to be repre...
The development and use of ontologies may require users with no training in formal logic to handle complex concept descriptions. To aid such users, we propose a new visualization f...
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Abstract: Quality aspects become increasingly important while business process modeling is used in a large-scale enterprise setting. In order to facilitate a storage without redund...
Jan Mendling, Boudewijn F. van Dongen, Wil M. P. v...