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» Joint Community and Anomaly Tracking in Dynamic Networks
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ACCV
2006
Springer
13 years 11 months ago
Tracking Targets Via Particle Based Belief Propagation
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
MIDDLEWARE
2007
Springer
13 years 12 months ago
Dynamic multi-process information flow tracking for web application security
Although there is a large body of research on detection and prevention of such memory corruption attacks as buffer overflow, integer overflow, and format string attacks, the web...
Susanta Nanda, Lap-Chung Lam, Tzi-cker Chiueh
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 6 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
ICASSP
2011
IEEE
12 years 9 months ago
A regularization framework for mobile social network analysis
Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and f...
Xiaowen Dong, Pascal Frossard, Pierre Vandergheyns...
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
14 years 3 days ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso