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Embedded Prototype Subspace Classification: A subspace learning framework
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.
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
2019 (English)In: Computer Analysis of Images and Patterns, Springer, 2019Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
Springer, 2019.
Series
Lecture Notes in Computer Science
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:uu:diva-389452OAI: oai:DiVA.org:uu-389452DiVA, id: diva2:1337387
Conference
CAIP 2019, September 2–6, Salerno, Italy
Available from: 2019-07-14 Created: 2019-07-14 Last updated: 2019-07-22

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Hast, AndersLind, MatsVats, Ekta

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