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  Kernel Methods and their Potential Use in Signal Processing

Perez-Cruz, F., & Bousquet, O. (2004). Kernel Methods and their Potential Use in Signal Processing. IEEE Signal Processing Magazine, 21(3), 57-65. doi:10.1109/MSP.2004.1296543.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-F3B5-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-4F18-9
Genre: Journal Article

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1296543 (Publisher version)
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 Creators:
Perez-Cruz, F, Author
Bousquet, O1, 2, 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              

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 Dates: 2004-05
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 2524
DOI: 10.1109/MSP.2004.1296543
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Title: IEEE Signal Processing Magazine
  Other : IEEE Signal Process. Mag.
Source Genre: Journal
 Creator(s):
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Publ. Info: New York, NY : Institute of Electrical & Electronics Engineers
Pages: - Volume / Issue: 21 (3) Sequence Number: - Start / End Page: 57 - 65 Identifier: ISSN: 1053-5888
CoNE: https://pure.mpg.de/cone/journals/resource/958480280164