RecurSIA-RRT: Recursive Translatable Point-Set Pattern Discovery with Removal of Redundant Translators

Author:

Meredith DavidORCID

Publisher

Springer International Publishing

Reference20 articles.

1. Collins, T.: Improved methods for pattern discovery in music, with applications in automated stylistic composition. Ph.D. thesis, Faculty of Mathematics, Computing and Technology, The Open University, Milton Keynes (2011)

2. Collins, T.: JKU Patterns Development Database (2013). https://dl.dropbox.com/u/11997856/JKU/JKUPDD-Aug2013.zip

3. Collins, T., Thurlow, J., Laney, R., Willis, A., Garthwaite, P.H.: A comparative evaluation of algorithms for discovering translational patterns in baroque keyboard works. In: 11th International Society for Music Information Retrieval Conference (ISMIR 2010), Utrecht, The Netherlands, 9–13 August 2010, pp. 3–8 (2010)

4. Forth, J.C.: Cognitively-motivated geometric methods of pattern discovery and models of similarity in music. Ph.D. thesis, Department of Computing, Goldsmiths, University of London (2012)

5. Forth, J., Wiggins, G.A.: An approach for identifying salient repetition in multidimensional representations of polyphonic music. In: Chan, J., Daykin, J.W., Rahman, M.S. (eds.) London Algorithmics 2008: Theory and Practice, pp. 44–58. College Publications, London (2009)

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