502 search results - page 42 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
BMCBI
2007
13 years 8 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
ICA
2007
Springer
14 years 3 months ago
2007
Springer
Functional Data Analysis (FDA) is used for datasets that are more meaningfully represented in the functional form. Functional principal component analysis, for instance, is used to...
TSD
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. We report work on the mapping between the speech signal and articulatory trajectories from the MOCHA database. Contrasting previous works that used Neural Networks for th...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...