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» Probabilistic models for the Steiner Tree problem
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NIPS
2003
13 years 9 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin
IPSN
2005
Springer
14 years 1 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
ECCV
2006
Springer
14 years 9 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
CPAIOR
2008
Springer
13 years 9 months ago
Connections in Networks: A Hybrid Approach
This paper extends our previous work by exploring the use of a hybrid solution method for solving the connection subgraph problem. We employ a two phase solution method, which dras...
Carla P. Gomes, Willem Jan van Hoeve, Ashish Sabha...
NOMS
2002
IEEE
130views Communications» more  NOMS 2002»
14 years 18 days ago
End-to-end service failure diagnosis using belief networks
We present fault localization techniques suitable for diagnosing end-to-end service problems in communication systems with complex topologies. We refine a layered system model th...
Malgorzata Steinder, Adarshpal S. Sethi