Parallel programming models based on a mixture of task and data parallelism have shown to be successful in addressing the increasing communication overhead of distributed memory p...
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
Erik G. Miller, Nicholas E. Matsakis, Paul A. Viol...
Abstract. As part of the AMMA project (ATLAS Model Management Architecture), we are currently building several model management tools to support the tasks of modeling in the large ...
We present an approach for secure information flow property preserving refinement and transformation of UML inspired interaction diagrams. The approach is formally underpinned b...