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  Semi-supervised subspace analysis of human functional magnetic resonance imaging data

Shelton, J., Blaschko, M., & Bartels, A.(2009). Semi-supervised subspace analysis of human functional magnetic resonance imaging data (185). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C509-D Version Permalink: http://hdl.handle.net/21.11116/0000-0002-85B8-8
Genre: Report

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MPIK-TR-185.pdf (Publisher version), 2MB
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Shelton, J1, 2, Author              
Blaschko, M1, 2, Author              
Bartels, A2, 3, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 Abstract: Kernel Canonical Correlation Analysis is a very general technique for subspace learning that incorporates PCA and LDA as special cases. Functional magnetic resonance imaging (fMRI) acquired data is naturally amenable to these techniques as data are well aligned. fMRI data of the human brain is a particularly interesting candidate. In this study we implemented various supervised and semi-supervised versions of KCCA on human fMRI data, with regression to single- and multi-variate labels (corresponding to video content subjects viewed during the image acquisition). In each variate condition, the semi-supervised variants of KCCA performed better than the supervised variants, including a supervised variant with Laplacian regularization. We additionally analyze the weights learned by the regression in order to infer brain regions that are important to different types of visual processing.

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 Dates: 2009-05
 Publication Status: Published in print
 Pages: 10
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
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 Identifiers: Report Nr.: 185
BibTex Citekey: 5901
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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 185 Sequence Number: - Start / End Page: - Identifier: -