Semi-supervised kernel canonical correlation analysis with application to human 
fMRI

Blaschko, M. B.; Shelton, J. A.; Bartels, A.; Lampert, C. H.; Gretton, A.

doi:10.1016/j.patrec.2011.02.011

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Semi-supervised kernel canonical correlation analysis with application to human fMRI

Blaschko, M. B., Shelton, J. A., Bartels, A., Lampert, C. H., & Gretton, A. (2011). Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters, 32(11), 1572-1583. doi:10.1016/j.patrec.2011.02.011.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-4C75-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-557D-1

Genre: Journal Article

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Creators:
Blaschko, M. B.¹, Author
Shelton, J. A.², Author
Bartels, A.², Author
Lampert, C. H.², Author
Gretton, A.¹, Author

Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647
2External Organizations, ou_persistent22

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Free keywords: MPI für Intelligente Systeme; Abt. Schölkopf

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Language(s): eng - English

Dates: Published Online: 2011-02-15Date issued: 2011-08-01

Publication Status: Issued

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Identifiers: eDoc: 596763
URI: http://www.kyb.tuebingen.mpg.de/
Other: BlaschkoSBLG2011
DOI: 10.1016/j.patrec.2011.02.011

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Title: Pattern Recognition Letters

Source Genre: Journal

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Publ. Info: Amsterdam : North-Holland

Pages: - Volume / Issue: 32 (11) Sequence Number: - Start / End Page: 1572 - 1583 Identifier: ISSN: 0167-8655
CoNE: https://pure.mpg.de/cone/journals/resource/954925484685