Embedded processor performance is dependent on both the underlying architecture and the compiler optimisations applied. However, designing both simultaneously is extremely difficu...
Christophe Dubach, Timothy M. Jones, Michael F. P....
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Abstract Accounting management is of strategic importance for a successful uptake of computational Grid technology within the user community. Computational Grid is one the most imp...
The Integrated Processing and Understanding of Signals (IPUS) architecture is a general blackboard framework for structuring bidirectional interaction between front-end signal pro...
We describe the architecture of a federated system designed to allow the integration of structured, relational, data together with unstructured multimedia data. Two characteristic...
Alan Cole, Jim Christensen, Howard Sachar, Oleg Du...