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» Learning network structure from passive measurements
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NSDI
2004
13 years 9 months ago
Measurement and Analysis of Spyware in a University Environment
Over the past few years, a relatively new computing phenomenon has gained momentum: the spread of "spyware." Though most people are aware of spyware, the research commun...
Stefan Saroiu, Steven D. Gribble, Henry M. Levy
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...
SECON
2010
IEEE
13 years 5 months ago
iPoint: A Platform-Independent Passive Information Kiosk for Cell Phones
We introduce iPoint, a passive device that can interact and deliver information to virtually any mobile phone equipped with a WiFi network interface and a camera. The iPoint does n...
Hooman Javaheri, Guevara Noubir
CDC
2009
IEEE
111views Control Systems» more  CDC 2009»
14 years 11 days ago
Minimal dynamical structure realisations with application to network reconstruction from data
— Network reconstruction, i.e., obtaining network structure from data, is a central theme in systems biology, economics, and engineering. Previous work introduced dynamical struc...
Ye Yuan, Guy-Bart Vincent Stan, Sean Warnick, Jorg...
BIOCOMP
2006
13 years 9 months ago
Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia