454 search results - page 15 / 91 » Principal Component Analysis Based on L1-Norm Maximization |
ISNN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
PAMI
2010
13 years 6 months ago
2010
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...
CIBCB
2006
IEEE
13 years 9 months ago
2006
IEEE
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...