41 search results - page 3 / 9 » Shrinkage estimation of high dimensional covariance matrices |
IDEAL
2010
Springer
13 years 2 months ago
2010
Springer
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
BMCBI
2011
13 years 9 days ago
2011
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...