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» Local solutions for global problems in wireless networks
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UAI
1997
15 years 7 months ago
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
Fabio Gagliardi Cozman
AICCSA
2006
IEEE
168views Hardware» more  AICCSA 2006»
16 years 5 days ago
Power Efficient Algorithms for Computing Fast Fourier Transform over Wireless Sensor Networks
Collaborative signal processing is one of the most promising applications that are currently being investigated for sensor networks. In this paper, we use FFT computation as a veh...
Turkmen Canli, Ajay K. Gupta, Ashfaq A. Khokhar
138
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MOBICOM
2006
ACM
16 years 1 days ago
Localization in sparse networks using sweeps
Determining node positions is essential for many next-generation network functionalities. Previous localization algorithms lack correctness guarantees or require network density h...
David Kiyoshi Goldenberg, Pascal Bihler, Yang Rich...
AAAI
2011
14 years 6 months ago
Global Seismic Monitoring: A Bayesian Approach
The automated processing of multiple seismic signals to detect and localize seismic events is a central tool in both geophysics and nuclear treaty verification. This paper report...
Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik...
ICASSP
2010
IEEE
15 years 6 months ago
On distance reconstruction for sensor network localization
Sensor localization typically exploits distance measurements to infer sensor positions with respect to known anchor nodes. Missing or unreliable measurements for specific nodes c...
Phillip A. Regalia, Jing Wang