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Automatic document image binarization using Bayesian optimization
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
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing.ORCID iD: 0000-0002-3123-3478
2017 (English)In: Proc. 4th International Workshop on Historical Document Imaging and Processing, New York: ACM Press, 2017Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
New York: ACM Press, 2017.
National Category
Computer Science
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-334327OAI: oai:DiVA.org:uu-334327DiVA: diva2:1159247
Conference
HIP 2017, November 10–11, Kyoto, Japan
Projects
eSSENCE
Available from: 2017-11-10 Created: 2017-11-22 Last updated: 2017-11-24Bibliographically approved

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Hast, AndersSingh, Prashant

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