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» Distributed parameter estimation in networks
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AAAI
2006
15 years 2 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
DAC
2004
ACM
15 years 6 months ago
Parametric yield estimation considering leakage variability
Leakage current has become a stringent constraint in today’s processor designs in addition to traditional constraints on frequency. Since leakage current exhibits a strong inver...
Rajeev R. Rao, Anirudh Devgan, David Blaauw, Denni...
CVPR
2012
IEEE
13 years 3 months ago
Single image multimaterial estimation
Estimating the reflectance and illumination from a single image becomes particularly challenging when the object surface consists of multiple materials. The key difficulty lies ...
Stephen Lombardi, Ko Nishino
109
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CORR
2007
Springer
128views Education» more  CORR 2007»
15 years 17 days ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICASSP
2011
IEEE
14 years 4 months ago
Approximated kernel density estimation for multiple TDOA detection
The Generalized State Coherence Transform (GSCT) has been recently proposed as an efficient tool for the estimation of multidimensional TDOA of multiple sources. The transform de...
Francesco Nesta, Maurizio Omologo