We continue the line of research on graph compression started in [BV04], but we move our focus to the compression of social networks in a proper sense (e.g., LiveJournal): the app...
Paolo Boldi, Marco Rosa, Massimo Santini, Sebastia...
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
We describe a system in which layer 2 switching is placed directly under the control of layer 3 routing protocols on a hop-by-hop basis. Specifically, ATM switching is controlled ...
Greg Minshall, Robert M. Hinden, Eric Hoffman, Fon...
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
The Digital Library (DL) field is one of the most promising areas of application for information visualization technology. In this paper, we propose a visual user interface tool ki...
Nithiwat Kampanya, Rao Shen, Seonho Kim, Chris Nor...