Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
This paper presents a new use of the Curvelet transform as a multiscale method for indexing linear singularities and curved handwritten shapes in documents images. As it belongs t...
Large-scale N-body simulations play an important role in advancing our understanding of the formation and evolution of large structures in the universe. These computations require ...
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
The popularity of batch-oriented cluster architectures like Hadoop is on the rise. These batch-based systems successfully achieve high degrees of scalability by carefully allocati...