Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...
Abstract. In the past five years there has been tremendous activity in rolebased access control (RBAC) models. Consensus has been achieved on a standard core RBAC model that is in ...
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
In this paper, we introduce a new, formal model of learning object metadata. The model enables more formal, rigorous reasoning over metadata. An important feature of the model is t...
We present an algorithm for automatically classifying the interior and exterior parts of a polygonal model. The need for visualizing the interiors of objects frequently arises in ...