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151
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IPSN
2009
Springer
15 years 10 months ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
15 years 1 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
134
Voted
ECCV
2002
Springer
16 years 5 months ago
A Markov Chain Monte Carlo Approach to Stereovision
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
Julien Sénégas
CEC
2008
IEEE
15 years 10 months ago
Natural Evolution Strategies
— This paper presents Natural Evolution Strategies (NES), a novel algorithm for performing real-valued ‘black box’ function optimization: optimizing an unknown objective func...
Daan Wierstra, Tom Schaul, Jan Peters, Jürgen...
106
Voted
ICMCS
2006
IEEE
128views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Fetal Heart Signal Monitoring with Confidence Factor
—In this paper we present a PDA-based fetal heart monitor that is able to provide instantaneous fetal heart rate (FHR) for the pregnant women. A modified spectral subtraction alg...
Jianfeng Chen, Koksoon Phua, Ying Song, Louis Shue