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» Robust Probabilistic Inference in Distributed Systems
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UAI
2004
9 years 1 months ago
Robust Probabilistic Inference in Distributed Systems
Probabilistic inference problems arise naturally in distributed systems such as sensor networks and teams of mobile robots. Inference algorithms that use message passing are a nat...
Mark A. Paskin, Carlos Guestrin
AAAI
2006
9 years 1 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
ICB
2009
Springer
119views Biometrics» more  ICB 2009»
9 years 6 months ago
Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference
We propose a scalable face matching algorithm capable of dealing with faces subject to several concurrent and uncontrolled factors, such as variations in pose, expression, illumina...
Conrad Sanderson, Brian C. Lovell
IPPS
2007
IEEE
9 years 6 months ago
A Probabilistic Approach to Measuring Robustness in Computing Systems
System builders are becoming increasingly interested in robust design. We believe that a methodology for generating robustness metrics will help the robust design research efforts...
Behdis Eslamnour, Shoukat Ali
IPSN
2005
Springer
9 years 5 months ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden
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