Ownership types characterize the topology of objects in the heap, through a characterization of the context to which an object belongs. They have been used to support reasoning, me...
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
We present language mechanisms for polymorphic, extensible records and their exact dual, polymorphic sums with extensible first-class cases. These features make it possible to eas...
Abstract. The increasing volume of digital communication is raising new challenges in the management of the information flow. We discuss the usage of context to infer presence info...