Non-negative Sparse PCA

ICML
2008
IEEE

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Expectation-maximization for sparse and non-negative PCA

14 years 5 months ago

We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...

Christian D. Sigg, Joachim M. Buhmann

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MICCAI
2009
Springer

186views Medical Imaging» more MICCAI 2009»

Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)

14 years 5 months ago

Download www.ece.ubc.ca

We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...

Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...

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