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» Learning random walks to rank nodes in graphs
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TSP
2011
197views more  TSP 2011»
13 years 2 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...
CORR
2011
Springer
188views Education» more  CORR 2011»
13 years 2 months ago
Towards Unbiased BFS Sampling
Abstract—Breadth First Search (BFS) is a widely used approach for sampling large unknown Internet topologies. Its main advantage over random walks and other exploration technique...
Maciej Kurant, Athina Markopoulou, Patrick Thiran
INFOCOM
2012
IEEE
11 years 10 months ago
SybilDefender: Defend against sybil attacks in large social networks
—Distributed systems without trusted identities are particularly vulnerable to sybil attacks, where an adversary creates multiple bogus identities to compromise the running of th...
Wei Wei, Fengyuan Xu, Chiu Chiang Tan, Qun Li
SIGCOMM
2010
ACM
13 years 7 months ago
Unbiased sampling in directed social graph
Microblogging services, such as Twitter, are among the most important online social networks(OSNs). Different from OSNs such as Facebook, the topology of microblogging service is ...
Tianyi Wang, Yang Chen, Zengbin Zhang, Peng Sun, B...
ICASSP
2011
IEEE
12 years 11 months ago
Improved spoken term detection with graph-based re-ranking in feature space
This paper presents a graph-based approach for spoken term detection. Each first-pass retrieved utterance is a node on a graph and the edge between two nodes is weighted by the s...
Yun-Nung Chen, Chia-Ping Chen, Hung-yi Lee, Chun-a...