We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
From an external perspective, cognitive agent behaviour can be described by specifying (temporal) correlations of a certain complexity between stimuli (input states) and (re)actio...
—Process Networks (PNs) is an appealing computation ion helping to specify an application in parallel form and realize it on parallel platforms. The key questions to be answered ...
In technical chemistry, systems biology and biotechnology, the construction of predictive models has become an essential step in process design and product optimization. Accurate ...
Introducing process-aware information systems (PAIS) in enterprises is usually associated with high costs. It is therefore crucial to understand those factors that determine these ...
Bela Mutschler, Manfred Reichert, Stefanie Rinderl...