canonical correlation analysis

 
National Institutes of Health

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Highly Cited
2014
Highly Cited
2014
Canonical correlation analysis (CCA) has been one of the most popular methods for frequency recognition in steady-state visual… (More)
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Highly Cited
2011
Highly Cited
2011
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multidimensional… (More)
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Highly Cited
2010
Highly Cited
2010
Canonical correlation analysis (CCA) is a method for finding linear relations between two multidimensional random variables. This… (More)
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Highly Cited
2009
Highly Cited
2009
We present a penalized matrix decomposition (PMD), a new framework for computing a rank-K approximation for a matrix. We… (More)
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Highly Cited
2009
Highly Cited
2009
In recent years, there has been increasing interest in using steady-state visual evoked potential (SSVEP) in brain-computer… (More)
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Highly Cited
2009
Highly Cited
2009
This paper addresses a spatiotemporal pattern recognition problem. The main purpose of this study is to find a right… (More)
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Highly Cited
2006
Highly Cited
2006
Canonical correlation analysis (CCA) is applied to analyze the frequency components of steady-state visual evoked potentials… (More)
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Highly Cited
2006
Highly Cited
2006
The electroencephalogram (EEG) is often contaminated by muscle artifacts. In this paper, a new method for muscle artifact removal… (More)
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Highly Cited
2006
Highly Cited
2006
A fast AAM search algorithm based on canonical correlation analysis (CCA-AAM) is introduced. It efficiently models the dependency… (More)
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Highly Cited
2001
Highly Cited
2001
A novel method for detecting neural activity in functional magnetic resonance imaging (fMRI) data is introduced. It is based on… (More)
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