994 search results - page 42 / 199 » Modeling and Inference with Relational Dynamic Bayesian Netw... |
131
Voted
UAI
2008
15 years 4 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
107
Voted
ICC
2007
IEEE
15 years 9 months ago
2007
IEEE
In this paper we investigate the fault diagnosis problem in IP networks. We provide a lower bound on the average number of probes per edge using variational inference technique pro...
115
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper presents Bayesian edge inference (BEI), a
single-frame super-resolution method explicitly grounded in
Bayesian inference that addresses issues common to existing
meth...
95
Voted
IPSN
2004
Springer
15 years 8 months ago
2004
Springer
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
108
Voted
IJCV
2007
15 years 2 months ago
2007
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...