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SVM-based Transfer of Visual Knowledge Across Robotic Platforms
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: 0000-0002-1396-0102
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2007 (English)In: Proceedings of the 5th International Conference on Computer Vision Systems (ICVS’07), Applied Computer Science Group, Bielefeld University, Germany , 2007Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an SVM-based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new information is available. The algorithm is adaptive and tends to privilege new data when building the SV solution. This prevents the old knowledge to nest into the model and eventually become a possible source of misleading information. We tested our approach in the domain of vision-based place recognition. Extensive experiments show that using transferred knowledge clearly pays off in terms of performance and stability of the solution.

Place, publisher, year, edition, pages
Applied Computer Science Group, Bielefeld University, Germany , 2007.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-66430ISBN: 978-3-00-020933-8 (print)OAI: oai:DiVA.org:kth-66430DiVA: diva2:484006
Note
QC 20120131Available from: 2012-01-31 Created: 2012-01-26 Last updated: 2012-01-31Bibliographically approved

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fulltext(793 kB)60 downloads
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37762baef9b453be8c74190e491b426fc4a8717f19667e0f0ca6043a35d5c2adecb0a671f6cc0d2a0598d4d0c52871fc45bb7f35f0b4138bacfe3ce4b2ce3143
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Pronobis, Andrzej

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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
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