- Author
- Sander Dieleman (UGent)
- Promoter
- Joni Dambre (UGent) and Benjamin Schrauwen (UGent)
- Organization
- Keywords
- Music analysis, recommender systems, Deep Learning, Machine Learning
Downloads
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PhD Dieleman FINAL.pdf
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8174817
- MLA
- Dieleman, Sander. Learning Feature Hierarchies for Musical Audio Signals. Ghent University. Faculty of Engineering and Architecture, 2016.
- APA
- Dieleman, S. (2016). Learning feature hierarchies for musical audio signals. Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium.
- Chicago author-date
- Dieleman, Sander. 2016. “Learning Feature Hierarchies for Musical Audio Signals.” Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
- Chicago author-date (all authors)
- Dieleman, Sander. 2016. “Learning Feature Hierarchies for Musical Audio Signals.” Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
- Vancouver
- 1.Dieleman S. Learning feature hierarchies for musical audio signals. [Ghent, Belgium]: Ghent University. Faculty of Engineering and Architecture; 2016.
- IEEE
- [1]S. Dieleman, “Learning feature hierarchies for musical audio signals,” Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium, 2016.
@phdthesis{8174817,
author = {{Dieleman, Sander}},
isbn = {{9789085788744}},
keywords = {{Music analysis,recommender systems,Deep Learning,Machine Learning}},
language = {{eng}},
pages = {{157}},
publisher = {{Ghent University. Faculty of Engineering and Architecture}},
school = {{Ghent University}},
title = {{Learning feature hierarchies for musical audio signals}},
year = {{2016}},
}