The notion of functional or modular dependency is fundamental to understand the architecture and inner workings of any software system. In this paper, we propose to extend that no...
1 Future gain in computing performance will not stem from increased clock rates, but from even more cores in a processor. Since automatic parallelization is still limited to easily...
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
Component-based middleware frameworks that support distributed agent societies have proven to be very useful in a variety of domains. Such frameworks must include support for both ...
John A. Zinky, Richard Shapiro, Sarah Siracuse, To...
Abstract. An approach for visual information analysis and classification is presented. It is based on a knowledge synthesizing technique to automatically create a relevance map fro...