Activity diagrams are a well-known means to model the control flow of system behavior. Their expressiveness can be enhanced by using their object flow notation. In addition, we ref...
Stefan Jurack, Leen Lambers, Katharina Mehner, Gab...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Abstract. High-Level net models following the paradigm “nets as tokens” have been studied already in the literature with several interesting applications. In this paper we prop...
Relations between models are important for effective automatic validation, for comparing implementations with specifications, and for increased understanding of embedded systems d...