Media applications are characterized by large amounts of available parallelism, little data reuse, and a high computation to memory access ratio. While these characteristics are p...
Scott Rixner, William J. Dally, Ujval J. Kapasi, B...
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
Memory interleaving is a cost-efficient approach to increase bandwidth. Improving data access locality and reducing memory access conflicts are two important aspects to achieve hi...
This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a distributed network o...
The needs for managing similar documents in different languages increases with the growing amounts of electronic information available in documents of the same type (e.g. news str...
Roberto Basili, Maria Teresa Pazienza, Fabio Massi...