This paper presents a technique for high-level power estimation of microprocessors. The technique, which is based on abstract execution profiles called ’event signatures’, op...
The paper1 presents and compares various unicast nonblocking architectures to be used into space-domain photonic switching networks. All the analyzed architectures have been evalu...
Luigi Savastano, Guido Maier, Mario Martinelli, Ac...
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...