We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
In recent years, large scale distributed virtual environments (DVEs) have become a major trend in distributed applications, mainly due to the enormous popularity of multiplayer onl...
The efficiency of promptly releasing security alerts of established analysis centers has been greatly challenged by the continuous emergence of various large scale network attack...
This paper proposes an optimization method for the design of large scale confederation based BGP networks. We propose a graph based model and an associated metric to evaluate the r...
—Digitization of production factors, including the knowledge for knowledge workers and consumers, opens almost infinite potential to connect persons, systems, processes, enterpri...
This paper focuses on large scale experiments with Java and asynchronous iterative applications. In those applications, tasks are dependent and the use of distant clusters may be ...
We propose an efficient framework for enabling secure multi-party numerical computations in a Peer-to-Peer network. This problem arises in a range of applications such as collabo...
Danny Bickson, Danny Dolev, Genia Bezman, Benny Pi...
Large scale hardware-supported multithreading, an attractive means of increasing computational power, benefits significantly from low per-thread costs. Hardware support for ligh...
Peer-to-Peer overlay networks have proven their efficiency for storing and retrieving data at large scale, but new services are required to take the actual performances of resour...
Olivier Beaumont, Philippe Duchon, Miroslaw Korzen...