93 search results - page 6 / 19 » Subspace independent component analysis using vector kurtosi... |
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Dimensionality reduction (DR) is a major issue to improve the efficiency of the classifiers in Hyperspectral images (HSI). Recently, the independent component analysis (ICA) app...
ICA
2012
Springer
12 years 3 months ago
2012
Springer
We consider an extension of ICA and BSS for separating mutually dependent and independent components from two related data sets. We propose a new method which first uses canonical...
WSC
2007
13 years 10 months ago
2007
Historical data suggest that returns of stocks and indices are not distributed independent and identically Normal, as is commonly assumed. Instead, returns of financial assets are...
ICCV
1999
IEEE
14 years 1 days ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...