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ECCV
2006
Springer
16 years 8 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
COMPSAC
2008
IEEE
16 years 29 days ago
Measuring Network Security Using Bayesian Network-Based Attack Graphs
Given the increasing dependence of our societies on information systems, the overall security of these systems should be measured and improved. Existing work generally focuses on ...
Marcel Frigault, Lingyu Wang
WAW
2007
Springer
157views Algorithms» more  WAW 2007»
16 years 18 days ago
Stochastic Kronecker Graphs
A random graph model based on Kronecker products of probability matrices has been recently proposed as a generative model for large-scale real-world networks such as the web. This...
Mohammad Mahdian, Ying Xu 0002
INFOCOM
2005
IEEE
16 years 2 days ago
FISSIONE: a scalable constant degree and low congestion DHT scheme based on Kautz graphs
Abstract— The distributed hash table (DHT) scheme has become the core component of many large-scale peer-to-peer networks. Degree, diameter, and congestion are important measures...
Dongsheng Li, Xicheng Lu, Jie Wu
ATAL
2005
Springer
16 years 1 days ago
Modeling complex multi-issue negotiations using utility graphs
This paper presents an agent strategy for complex bilateral negotiations over many issues with inter-dependent valuations. We use ideas inspired by graph theory and probabilistic ...
Valentin Robu, D. J. A. Somefun, Johannes A. La Po...