212 search results - page 2 / 43 » Position Estimation Using Principal Components of Range Data |
AMCS
2008
13 years 5 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
BMCBI
2010
13 years 5 months ago
2010
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
PR
2006
2006
Correspondence matching using kernel principal components analysis and label consistency constraints
13 years 4 months ago
This paper investigates spectral approaches to the problem of point pattern matching. We make two contributions. First, we consider rigid point-set alignment. Here we show how ker...
GLOBECOM
2009
IEEE
13 years 11 months ago
2009
IEEE
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
BMCBI
2010
13 years 4 months ago
2010
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...