In this paper, we describe a novel approach to 3D shape modelling, targeting at the reconstruction and repair of digitised models – a task that is frequently encountered in part...
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Various retrieval models have been developed and analyzed so far, but less research aims to an integration of the different models within a common framework. This paper introduces ...
For a particular business process, typically, different variants exist. Each of them constitutes an adjustment of a basic process (e.g. a reference process) to specific requirement...
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...