Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Feature evaluation for handwritten character recognition with regressive and generative Hidden Markov Models
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 Scientific Computing.ORCID iD: 0000-0003-0458-6902
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
2016 (English)In: Advances in Visual Computing: Part I, Springer, 2016, 278-287 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2016. 278-287 p.
Series
Lecture Notes in Computer Science, 10072
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-308662DOI: 10.1007/978-3-319-50835-1_26ISBN: 978-3-319-50834-4 (print)OAI: oai:DiVA.org:uu-308662DiVA: diva2:1050536
Conference
ISVC 2016, December 12–14, Las Vegas, NV
Projects
q2b – From Quill to Bytes
Available from: 2016-12-10 Created: 2016-11-29 Last updated: 2016-12-16Bibliographically approved

Open Access in DiVA

fulltext(726 kB)75 downloads
File information
File name FULLTEXT01.pdfFile size 726 kBChecksum SHA-512
5dddb77273d6270efda17246d5085ba9fcb12a8fd66fdb604344e669d4473d15db51e743ea1d0a3825257b6fb6fb04e64b5820fdcef0d2cb3638103e2ee44ed4
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Ayyalasomayajula, Kalyan RamNettelblad, CarlBrun, Anders

Search in DiVA

By author/editor
Ayyalasomayajula, Kalyan RamNettelblad, CarlBrun, Anders
By organisation
Division of Visual Information and InteractionComputerized Image Analysis and Human-Computer InteractionDivision of Scientific Computing
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 75 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 544 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf