Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
— This paper presents a comparative analysis relative to the experimental performances of an asymptotically fast and incremental algorithm, recently developed to compute collisio...
A well-known challenge during processor design is to obtain the best possible results for a typical target application domain that is generally described as a set of benchmarks. O...
During the recent years of research on mobile agents, significant effort has been directed towards the identification of models of agent mobility suitable for network management a...
We propose a model for describing and predicting the parallel performance of a broad class of parallel numerical software on distributed memory architectures. The purpose of this ...
Giuseppe Romanazzi, Peter K. Jimack, Christopher E...