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» Importance Sampling for Continuous Time Bayesian Networks
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AVSS
2009
IEEE
15 years 3 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
HUC
2010
Springer
14 years 12 months ago
Bayesian recognition of motion related activities with inertial sensors
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
Korbinian Frank, Maria Josefa Vera Nadales, Patric...
CMSB
2009
Springer
15 years 6 months ago
Probabilistic Approximations of Signaling Pathway Dynamics
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
Bing Liu, P. S. Thiagarajan, David Hsu
ICASSP
2011
IEEE
14 years 3 months ago
Time-evolving modeling of social networks
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
Eric Wang, Jorge Silva, Rebecca Willett, Lawrence ...
ICC
2007
IEEE
109views Communications» more  ICC 2007»
15 years 6 months ago
Real Time Detection of Link Failures in Inter Domain Routing
Abstract— Measurements have shown that network path failures occur frequently in the Internet and physical link failures can cause network instability in large scale and severity...
Xiaobo Long, Biplab Sikdar