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Neural Ctrl-F: Segmentation-free Query-by-String Word Spotting in Handwritten Manuscript Collections
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 Humanities and Social Sciences, Faculty of Arts, Department of History.ORCID iD: 0000-0002-5245-937X
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-336188OAI: oai:DiVA.org:uu-336188DiVA, id: diva2:1165206
Conference
Swedish Symposium on Deep Learning (SSDL)
Projects
q2b
Funder
Swedish Research Council, 2012-5743Riksbankens Jubileumsfond, NHS14-2068:1
Available from: 2017-12-12 Created: 2017-12-12 Last updated: 2018-01-13

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Wilkinson, TomasLindström, JonasBrun, Anders

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