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Learning Conditional Structures in Graphical Models from a Large Set of Observation Streams through efficient Discretisation
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0003-2965-2953
2011 (English)In: IEEE International Conference on Robotics and Automation, Workshop on Manipulation under Uncertainty, 2011Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2011.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-50670OAI: oai:DiVA.org:kth-50670DiVA: diva2:462366
Conference
ICRA 2011 Workshop on Manipulation under Uncertainty. Shanghai, China. May 13th, 2011
Note
QC 20111208Available from: 2011-12-07 Created: 2011-12-07 Last updated: 2011-12-08Bibliographically approved

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Kragic, Danica

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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