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Particle Filters for Efficient Meter Tracking with Dynamic Bayesian Networks
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID.ORCID iD: 0000-0003-1679-6018
2015 (English)In: Proceedings of ISMIR - International Society for Music Information Retrieval Conference, 2015Conference paper (Refereed)
Place, publisher, year, edition, pages
2015.
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-193776OAI: oai:DiVA.org:kth-193776DiVA: diva2:1033969
Conference
ISMIR - International Society for Music Information Retrieval Conference
Note

QC 20161019

Available from: 2016-10-10 Created: 2016-10-10 Last updated: 2016-10-19Bibliographically approved

Open Access in DiVA

fulltext(283 kB)7 downloads
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File name FULLTEXT01.pdfFile size 283 kBChecksum SHA-512
d2d31efccae6bb7a846f1df156ca718d5055f438ee24a5cdd1c7f7794b833fb45fec0891fa6c6b32ba5b4327b7aa845958781e74be16e4f08eefdd2f42e46aa0
Type fulltextMimetype application/pdf

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Holzapfel, Andre
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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