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» Efficient Training of Sensor Networks
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UAI
2001
15 years 3 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
ICIP
2006
IEEE
16 years 3 months ago
Design of a Transmission Protocol for a CVE
Virtual reality is a useful tool to train individuals for various different situations or scenarios. A single person utilizing a virtual environment can greatly enhance their skil...
Fred Stakem, Ghassan Alregib, Biing-Hwang Juang, M...
CVPR
2009
IEEE
16 years 6 months ago
Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...
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FGCN
2008
IEEE
199views Communications» more  FGCN 2008»
15 years 8 months ago
A Context-Sensitive Rule-Based Architecture for a Smart Building Environment
In a smart building environment nomadic users can benefit from specialised contextsensitive services. These can increase productivity and offer an improved lifestyle for users. Th...
John Herbert, John O'Donoghue, Xiang Chen
AAAI
1996
15 years 3 months ago
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
Sebastian Thrun, Arno Bücken