53 search results - page 10 / 11 » Covariance Matrix Estimation With Heterogeneous Samples |
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
CDC
2010
IEEE
13 years 23 days ago
2010
IEEE
In this paper, we derive concentration of measure inequalities for compressive Toeplitz matrices (having fewer rows than columns) with entries drawn from an independent and identic...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
TCBB
2010
13 years 4 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
BMCBI
2008
13 years 5 months ago
2008
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...