Traditional Public Key Infrastructures (PKI) have not lived up to their promise because there are too many ways to define PKIs, too many cryptographic primitives to build them wi...
Chris Lesniewski-Laas, Bryan Ford, Jacob Strauss, ...
This paper describes efforts by the University of Pennsylvania's Linguistic Data Consortium to create and distribute shared linguistic resources – including data, annotation...
The tutorial first addresses requirements and semantic problems to integrate digital information into large scale, meaningful networks of knowledge that support not only access to...
It is by now widely accepted that the arrival process of aggregate network traffic exhibits self-similar characteristics which result in the preservation of traffic burstiness (hig...
Dimitrios P. Pezaros, Manolis Sifalakis, David Hut...
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...