%0 Generic
%A Kim, Jaehun
%A Liem, Cynthia
%D 2023
%T Supplementary material of the paper "The power of deep without going deep? A study of HDPGMM music representation learning"
%U 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
%R 10.4121/21981442.v1
%K nonparametric Bayesian modeling technique
%K Million Song Dataset
%K Representation Learning
%K hierarchical dirichlet process(HDP)
%K Gaussian Mixture Models
%X <p>Supplementary material of the paper "The power of deep without going deep? A study of HDPGMM music representation learning"</p>
<p>======</p>
<p>Authors:</p>
<p>    Jaehun Kim (jaehun.j.kim@gmail.com)</p>
<p>    Cynthia C.S. Liem</p>
<p># General Information</p>
<p>This entry contains the following list of data that is the by-product of the experiment conducted for a study titled "[The power of deep without going deep? A study of HDPGMM music representation learning](https://zenodo.org/record/7316610#.Y9xjoS-B0Q0)". In addition, the program for the main experimental routine is provided in the [separate repository](<a href="https://github.com/eldrin/hdpgmm-music-experiments" target="_blank">https://github.com/eldrin/hdpgmm-music-experiments</a>).</p>
%I 4TU.ResearchData