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» Bayesian optimization for sensor set selection
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CVPR
2007
IEEE
13 years 11 months ago
On the Performance Prediction and Validation for Multisensor Fusion
Multiple sensors are commonly fused to improve the detection and recognition performance of computer vision and pattern recognition systems. The traditional approach to determine ...
Rong Wang, Bir Bhanu
IJCAI
2007
13 years 9 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
DASFAA
2007
IEEE
172views Database» more  DASFAA 2007»
14 years 1 months ago
Optimizing Multiple In-Network Aggregate Queries in Wireless Sensor Networks
Abstract. In this paper, we explore the feature of sharing partial results of multiple queries to reduce the total number of messages incurred. Those queries sharing their partial ...
Huei-You Yang, Wen-Chih Peng, Chia-Hao Lo
ROBOCOMM
2007
IEEE
14 years 1 months ago
Information-theoretic integration of sensing and communication for active robot networks
Abstract—This paper presents an information-theoretic approach to sensor placement that incorporates communication capacity into an optimal formulation. A new formulation is pres...
Eric W. Frew
PE
2010
Springer
170views Optimization» more  PE 2010»
13 years 5 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale