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  Unsupervised Detection of Music Boundaries by Time Series Structure Features

Serrà, J., Müller, M., Grosche, P., & Arcos, J. L. (2012). Unsupervised Detection of Music Boundaries by Time Series Structure Features. In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence and the Twenty-Fourth Innovative Applications of Artificial Intelligence Conference, the Third Symposium on Educational Advances in Artificial Intelligence (pp. 1613-1619). Menlo Park: AAAI.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-14B2-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-2FF0-D
Genre: Conference Paper

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 Creators:
Serrà, Joan1, Author
Müller, Meinard2, Author           
Grosche, Peter2, Author           
Arcos, Josep Lluis1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: SerraMGA12_BoundaryDetection_AAAI
Other: Local-ID: E0FDF2B385F57AB6C1257A30003FCA0C-SerraMGA12_BoundaryDetection_AAAI
URI: http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/viewFile/4907/5309
 Degree: -

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Title: Twenty-Sixth AAAI Conference on Artificial Intelligence and the Twenty-Fourth Innovative Applications of Artificial Intelligence Conference, the Third Symposium on Educational Advances in Artificial Intelligence
Place of Event: Toronto, Ontario, Canada
Start-/End Date: 2012-07-22 - 2012-07-26

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Title: Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence and the Twenty-Fourth Innovative Applications of Artificial Intelligence Conference, the Third Symposium on Educational Advances in Artificial Intelligence
  Abbreviation : AAAI 2012
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Menlo Park : AAAI
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1613 - 1619 Identifier: ISBN: 978-1-57735-568-7