Hierarchical Data Representation Model - Multi-Layer NMF
Abstract
In this paper, we propose a data representation model that demonstrates hierarchical feature learning using nsNMF. We extend unit algorithm into several layers. Experiments with document and image data successfully discovered feature hierarchies. We also prove that proposed method results in much better classification and reconstruction performance, especially for small number of features. feature hierarchies.
Cite
Text
Song and Lee. "Hierarchical Data Representation Model - Multi-Layer NMF." International Conference on Learning Representations, 2013.Markdown
[Song and Lee. "Hierarchical Data Representation Model - Multi-Layer NMF." International Conference on Learning Representations, 2013.](https://mlanthology.org/iclr/2013/song2013iclr-hierarchical/)BibTeX
@inproceedings{song2013iclr-hierarchical,
title = {{Hierarchical Data Representation Model - Multi-Layer NMF}},
author = {Song, Hyun Ah and Lee, Soo-Young},
booktitle = {International Conference on Learning Representations},
year = {2013},
url = {https://mlanthology.org/iclr/2013/song2013iclr-hierarchical/}
}