oru.sePublikationer
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
Automated picking: Extracting constraints for HiQP from perception
Örebro University, School of Science and Technology.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , 40 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-59336OAI: oai:DiVA.org:oru-59336DiVA: diva2:1135710
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2017-08-24 Created: 2017-08-24 Last updated: 2017-08-24Bibliographically approved

Open Access in DiVA

fulltext(3564 kB)6 downloads
File information
File name FULLTEXT01.pdfFile size 3564 kBChecksum SHA-512
723829d7b9846413434fc6ed47f70130c447d80cf9751e0be0fbc3be22f217da7e24135d4a1ea5f7c9076f29a3d156e72e3f63d5e53d98bbdf2654865aceaa0b
Type fulltextMimetype application/pdf

By organisation
School of Science and Technology
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 6 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

Total: 4 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