The parallelization of two applications in symmetric cryptography is considered: block ciphering and a new method based on random sampling for the selection of basic substitution ...
Vincent Danjean, Roland Gillard, Serge Guelton, Je...
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
We present an algorithm, Shared-State Sampling (S3 ), for the problem of detecting large flows in high-speed networks. While devised with different principles in mind, S3 turns ...
Current data management solutions are largely optimized for intra-enterprise, client-server applications. They depend on predictability, predefined structure, and universal admini...
Brian F. Cooper, Neal Sample, Michael J. Franklin,...
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...