1875 search results - page 212 / 375 » Kernel Methods for Pattern Analysis |
KDD
2006
ACM
14 years 11 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
ICPR
2006
IEEE
14 years 4 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
IBPRIA
2003
Springer
14 years 4 months ago
2003
Springer
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
BIBE
2004
IEEE
14 years 2 months ago
2004
IEEE
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
BMCBI
2008
13 years 11 months ago
2008
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...