Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
In this paper the Northrhine-Westphalian metacomputing initiative is described. We start by discussing various general aspects of metacomputing and explain the reasons for founding...
Models based on system calls are a popular and common approach to characterize the run-time behavior of programs. For example, system calls are used by intrusion detection systems...
Andrea Lanzi, Davide Balzarotti, Christopher Krueg...
We propose a novel privacy-preserving distributed infrastructure in which data resides only with the publishers owning it. The infrastructure disseminates user queries to publishe...
Emiran Curtmola, Alin Deutsch, K. K. Ramakrishnan,...
Computer Aided Design applications have become designers’ inevitable tools for expressing and simulating innovative ideas and concepts. However, replacing traditional materials ...