OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms

Author:

Schmuck Viktor,Meredith David

Publisher

Springer International Publishing

Reference24 articles.

1. Boot, P., Volk, A., de Haas, W.B.: Evaluating the role of repeated patterns in folk song classification and compression. J. New Music Res. 45(3), 223–238 (2016)

2. Cilibrasi, R., Vitányi, P.M.B., de Wolf, R.: Algorithmic clustering of music based on string compression. Comput. Music J. 28(4), 49–67 (2004)

3. 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)

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

5. 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), pp. 3–8 (2010)

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