- Author
- Aäron van den Oord (UGent)
- Promoter
- Joni Dambre (UGent) and Benjamin Schrauwen (UGent)
- Organization
- Keywords
- machine learning, neural networks, Deep learning, generative models
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8174770
- MLA
- van den Oord, Aäron. Deep Architectures for Feature Extraction and Generative Modeling. Ghent University. Faculty of Engineering and Architecture, 2015.
- APA
- van den Oord, A. (2015). Deep architectures for feature extraction and generative modeling. Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium.
- Chicago author-date
- Oord, Aäron van den. 2015. “Deep Architectures for Feature Extraction and Generative Modeling.” Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
- Chicago author-date (all authors)
- van den Oord, Aäron. 2015. “Deep Architectures for Feature Extraction and Generative Modeling.” Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
- Vancouver
- 1.van den Oord A. Deep architectures for feature extraction and generative modeling. [Ghent, Belgium]: Ghent University. Faculty of Engineering and Architecture; 2015.
- IEEE
- [1]A. van den Oord, “Deep architectures for feature extraction and generative modeling,” Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium, 2015.
@phdthesis{8174770,
author = {{van den Oord, Aäron}},
isbn = {{9789085788553}},
keywords = {{machine learning,neural networks,Deep learning,generative models}},
language = {{eng}},
pages = {{XVII, 144}},
publisher = {{Ghent University. Faculty of Engineering and Architecture}},
school = {{Ghent University}},
title = {{Deep architectures for feature extraction and generative modeling}},
year = {{2015}},
}