598 search results - page 28 / 120 » A random graph model for massive graphs |
AI
2008
Springer
13 years 11 months ago
2008
Springer
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
ICC
2008
IEEE
14 years 5 months ago
2008
IEEE
— We introduce a hypergraph based interference model for scheduling in wireless networks. As a generalization of the graph model, hypergraph considers the conflicts caused by su...
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
CCS
2010
ACM
13 years 10 months ago
2010
ACM
Social network-based Sybil defenses exploit the trust exhibited in social graphs to detect Sybil nodes that disrupt an algorithmic property (i.e., the fast mixing) in these graphs...
TSP
2011
13 years 5 months ago
2011
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...