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TSP
2008
115views more  TSP 2008»
13 years 7 months ago
A Bayesian Approach to Adaptive Detection in Nonhomogeneous Environments
Abstract--We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for ada...
Stéphanie Bidon, Olivier Besson, Jean-Yves ...
JCB
2007
198views more  JCB 2007»
13 years 7 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
TSP
2010
13 years 2 months ago
Shrinkage algorithms for MMSE covariance estimation
We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O....
TROB
2008
154views more  TROB 2008»
13 years 5 months ago
Large-Scale SLAM Building Conditionally Independent Local Maps: Application to Monocular Vision
SLAM algorithms based on local maps have been demonstrated to be well suited for mapping large environments as they reduce the computational cost and improve the consistency of the...
Pedro Pinies, Juan D. Tardós
IEICET
2008
95views more  IEICET 2008»
13 years 7 months ago
Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise
Obtaining the best linear unbiased estimator (BLUE) of noisy signals is a traditional but powerful approach to noise reduction. Explicitly computing the BLUE usually requires the ...
Masashi Sugiyama, Motoaki Kawanabe, Gilles Blancha...