Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
We present an approach to parallel variational optical flow computation by using an arbitrary partition of the image plane and iteratively solving related local variational proble...
A novel combination of genetic algorithms and constraint satisfaction modelling for the solution of two and multi-layer over-thecell channel routing problems is presented. The two ...
The creation of a development process is a challenging task. The application, customization and refinement of generic process models into fine-grained process steps suitable for a...
A methodology is proposed for the formal development of software systems from a user's requirements specification in natural language into a complete implementation, proceedi...