• Corpus ID: 246285806

Understanding and Compressing Music with Maximal Transformable Patterns

@article{Meredith2022UnderstandingAC,
  title={Understanding and Compressing Music with Maximal Transformable Patterns},
  author={David Meredith},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.11085}
}
  • D. Meredith
  • Published 26 January 2022
  • Computer Science
  • ArXiv
We present a polynomial-time algorithm that discovers all maximal patterns in a point set, D ∈ R, that are related by transformations in a user-specified class, F , of bijections over R. We also present a second algorithm that discovers the set of occurrences for each of these maximal patterns and then uses compact encodings of these occurrence sets to compute a losslessly compressed encoding of the input point set. This encoding takes the form of a set of pairs, E = {〈P1, T1〉 , 〈P2, T2… 

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