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Normalized Convolutional Neural Networks for Sparse Data
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.
2017 (English)Report (Other academic)
Place, publisher, year, edition, pages
2017.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 3096
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-135761OAI: oai:DiVA.org:liu-135761DiVA: diva2:1083263
Available from: 2017-03-20 Created: 2017-03-20 Last updated: 2017-03-29Bibliographically approved

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Eldesokey, Abdelrahman
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf