The current standard image-compression approaches rely on fairly simple predictions, using either block- or wavelet-based methods. While many more sophisticated texture-modeling a...
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
Recently, various attacks have been proposed against many cryptosystems, exploiting deliberate error injection during the computation process. In this paper, we add a residue-base...
The reconfigurable mesh is a model for massively parallel computing for which many algorithms with very low complexity have been developed. These algorithms execute cycles of bus...
– This paper describes the system design and implementation of Active Basestations, a novel application of the run-time reconfigurable hardware technology whose applications have...