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Semantic Labeling using Convolutional Networks coupled with Graph-Cuts for Document binarization
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.ORCID iD: 0000-0002-4405-6888
2017 (English)Conference paper, Poster (with or without abstract) (Other academic)
Place, publisher, year, edition, pages
2017.
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-336174OAI: oai:DiVA.org:uu-336174DiVA, id: diva2:1165189
Conference
First Swedish Symposium on Deep Learning (SSDL 2017)
Funder
Swedish Research Council, 2012-5743Riksbankens Jubileumsfond, NHS14-2068:1Available from: 2017-12-12 Created: 2017-12-12 Last updated: 2018-01-13Bibliographically approved

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Ayyalasomayajula, Kalyan RamBrun, Anders

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Ayyalasomayajula, Kalyan RamBrun, Anders
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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