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Learning surrogate models of document image quality metrics for automated document image processing
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing.
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: 0000-0003-4480-3158
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: 0000-0003-1054-2754
2018 (English)In: Proc. 13th IAPR Workshop on Document Analysis Systems, IEEE, 2018, p. 67-72Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2018. p. 67-72
National Category
Computer Sciences
Research subject
Computerized Image Processing
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URN: urn:nbn:se:uu:diva-351317DOI: 10.1109/DAS.2018.14ISBN: 978-1-5386-3346-5 (electronic)OAI: oai:DiVA.org:uu-351317DiVA, id: diva2:1209435
Conference
DAS 2018, April 24–27, Austria, Vienna
Projects
eSSENCEAvailable from: 2018-06-25 Created: 2018-05-23 Last updated: 2018-07-09Bibliographically approved

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Singh, PrashantHast, Anders

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