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CORR
2010
Springer
96views Education» more  CORR 2010»
13 years 4 months ago
Rate-distortion function via minimum mean square error estimation
Abstract—We derive a simple general parametric representation of the rate–distortion function of a memoryless source, where both the rate and the distortion are given by integr...
Neri Merhav
CORR
2010
Springer
129views Education» more  CORR 2010»
13 years 5 months ago
Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error
Consider the minimum mean-square error (MMSE) of estimating an arbitrary random variable from its observation contaminated by Gaussian noise. The MMSE can be regarded as a function...
Dongning Guo, Yihong Wu, Shlomo Shamai, Sergio Ver...
ICASSP
2011
IEEE
12 years 9 months ago
An approximate Minimum MOSPA estimator
Optimizing over a variant of the Mean Optimal Subpattern Assignment (MOSPA) metric is equivalent to optimizing over the track accuracy statistic often used in target tracking benc...
David Frederic Crouse, Peter Willett, Marco Guerri...
ICASSP
2011
IEEE
12 years 9 months ago
Gaussian mixture modeling for source localization
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
John T. Flåm, Joakim Jalden, Saikat Chatterj...
PAMI
1998
100views more  PAMI 1998»
13 years 5 months ago
Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR
—Deformable template representations of observed imagery, model the variability of target pose via the actions of the matrix Lie groups on rigid templates. In this paper, we stud...
Ulf Grenander, Michael I. Miller, Anuj Srivastava