@misc{https://doi.org/10.4121/21981442.v1,
  doi = {10.4121/21981442.v1},
  url = {https://data.4tu.nl/articles/dataset/Supplementary_material_of_the_paper_The_power_of_deep_without_going_deep_A_study_of_HDPGMM_music_representation_learning_/21981442/1},
  author = {Kim, Jaehun and Liem, Cynthia},
  keywords = {nonparametric Bayesian modeling technique, Million Song Dataset, Representation Learning, hierarchical dirichlet process(HDP), Gaussian Mixture Models},
  title = {Supplementary material of the paper "The power of deep without going deep? A study of HDPGMM music representation learning"},
  publisher = {4TU.ResearchData},
  year = {2023},
  copyright = {CC BY-SA 4.0},
}