Hierarchical data representation model - Multi-layer NMF

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 38
  • Download : 0
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.
Publisher
International Conference on Learning Representations, ICLR
Issue Date
2013-05
Language
English
Citation

1st International Conference on Learning Representations, ICLR 2013

URI
http://hdl.handle.net/10203/313716
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0