Applications like multimedia retrieval require efficient support for similarity search on large data collections. Yet, nearest neighbor search is a difficult problem in high dimen...
Arjen P. de Vries, Nikos Mamoulis, Niels Nes, Mart...
Abstract-- Failures of any type are common in current datacenters. As data scales up, its availability becomes more complex, while different availability levels per application or ...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
Search engines make it easy to check facts online, but finding some specific kinds of information sometimes proves to be difficult. We studied the behavioral signals that suggest ...
Our understanding of IPv6 deployment is surprisingly limited. In fact, it is not even clear how we should quantify IPv6 deployment. In this paper, we collect and analyze a variety ...
Elliott Karpilovsky, Alexandre Gerber, Dan Pei, Je...
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...