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ESANN
2007
15 years 1 months ago
A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning
Abstract. Canonical Correlation Analysis(CCA) is a useful tool to discover relationship between different sources of information represented by vectors. The solution of the underl...
Sándor Szedmák, Tijl De Bie, David R...
ESANN
2006
15 years 1 months ago
Stochastic Processes for Canonical Correlation Analysis
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
Colin Fyfe, Gayle Leen
ESANN
2001
15 years 1 months ago
Canonical correlation analysis in early vision processing
This paper illustrates how canonical correlation analysis can be used for designing efficient visual operators by learning. The approach is highly task oriented and what constitute...
Magnus Borga, Hans Knutsson
ICASSP
2009
IEEE
15 years 6 months ago
Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis
Typically data acquired through imaging techniques such as functional magnetic resonance imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed separ...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
BMCBI
2010
118views more  BMCBI 2010»
14 years 12 months ago
Testing for mean and correlation changes in microarray experiments: an application for pathway analysis
Background: Microarray experiments examine the change in transcript levels of tens of thousands of genes simultaneously. To derive meaningful data, biologists investigate the resp...
Mayer Alvo, Zhongzhu Liu, Andrew Williams, Carole ...