Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification-Reference-Cited by-同舟云学术

Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification

Published:2022 Issue:1 Volume:5 Page:1-19
ISSN:2514-3298
Container-title:Transactions of the International Society for Music Information Retrieval
language:en
Short-container-title:

Author:

Vatolkin Igor^ORCID,McKay Cory^ORCID

Publisher

Ubiquity Press, Ltd.

Reference77 articles.

1. On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems;Theoretical Computer Science,1998

3. The Million Song Dataset,2011

4. Music mood and theme classification – a hybrid approach,2009

5. The AcousticBrainz Genre Dataset: Multi-source, multi-level, multi-label, and large-scale,2019

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