Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
Background: Despite their involvement in the regulation of gene expression and their importance as genomic markers for promoter prediction, no objective standard exists for defini...
Michael Hackenberg, Christopher Previti, Pedro Lui...
This paper introduces a new abstraction to accelerate the readbarriers and write-barriers used by language runtime systems. We exploit the fact that, dynamically, many barrier exe...
Gaussian Cubes (GCs) are a family of interconnection topologies in which the interconnection density and algorithmic efficiency are linked by a common parameter, the variation of ...
In this technical demonstration we present a novel web-based tool that allows a user friendly semantic browsing of video collections, based on ontologies, concepts, concept relati...
Marco Bertini, Gianpaolo D'Amico, Andrea Ferracani...