A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
In this paper, we present a novel image interpolation method based on variational models with both smoothing and orientation constraints. By introducing the orientation constraint...
Declarative approaches have been proposed to counter the limited flexibility of the traditional imperative modeling paradigm, but little empirical insights are available into thei...
Barbara Weber, Hajo A. Reijers, Stefan Zugal, Wern...
To focus the comparison of languages for model checking and transformation on criteria that matter in practical development, there is an urgent need for more, and more realistic, ...
This paper considers the model of Time Petri Nets (TPNs) extended with time parameters and its use to perform on-line diagnosis of distributed systems. We propose to base the metho...
Bartosz Grabiec, Louis-Marie Traonouez, Claude Jar...