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An intelligent user interface for efficient semi-automatic transcription of historical handwritten documents
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
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
2018 (English)In: Proc. 23rd International Conference on Intelligent User Interfaces Companion, New York: ACM Press, 2018, article id 48Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
New York: ACM Press, 2018. article id 48
National Category
Computer and Information Sciences
Research subject
Computerized Image Processing
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URN: urn:nbn:se:uu:diva-345637DOI: 10.1145/3180308.3180357ISBN: 978-1-4503-5571-1 OAI: oai:DiVA.org:uu-345637DiVA, id: diva2:1189529
Conference
IUI 2018, March 7–11, Tokyo, Japan
Projects
eSSENCE
Available from: 2018-03-05 Created: 2018-03-12 Last updated: 2018-03-16Bibliographically approved

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Hast, Anders

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