A choreography describes a transaction in which several principals interact. Since choreographies frequently describe business processes affecting substantial assets, we need a se...
Object class models trained on hundreds or thousands of
images have shown to enable robust detection. Transferring
knowledge from such models to new object classes trained
from ...
Evaluating the complexity of business processes during the early stages of their development, primarily during the process modelling phase, provides organizations and stakeholder w...
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
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...