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» On Generating Random Network Structures: Connected Graphs
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CCS
2006
ACM
15 years 4 months ago
A scalable approach to attack graph generation
Attack graphs are important tools for analyzing security vulnerabilities in enterprise networks. Previous work on attack graphs has not provided an account of the scalability of t...
Xinming Ou, Wayne F. Boyer, Miles A. McQueen
NIPS
2004
15 years 1 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
109
Voted
WWW
2010
ACM
15 years 20 days ago
LINKREC: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
111
Voted
USENIX
2007
15 years 2 months ago
A Comparison of Structured and Unstructured P2P Approaches to Heterogeneous Random Peer Selection
Random peer selection is used by numerous P2P applications; examples include application-level multicast, unstructured file sharing, and network location mapping. In most of thes...
Vivek Vishnumurthy, Paul Francis
115
Voted
TSP
2011
197views more  TSP 2011»
14 years 7 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—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...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...