The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Model-driven engineering is a promising approach, but there are still many hurdles to overcome. The tool UWE4JSF solves the hurdles for the model-driven development of web applicat...
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
Today's computer supported modelling environments could provide much more information about the users’ actions and problem solving processes than they usually store for late...