Self-organizing hierarchical feature maps

By P. Koikkalainen, Erkki Oja. 1990

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yoshua Bengio
2. Kaiming He
3. Kyunghyun Cho
4. J. Urgen Schmidhuber
5. Tapani Raiko
6. Sergey Levine
7. Ruslan Salakhutdinov
8. Quoc V. Le

Citations in the corpus

• Deep learning in neural networks: An overview (2014, methodology): “nt naive yet optimal Bayes classifiers (Schmidhuber et al., 1996). Most early UL FNNs had a single layer. Methods for deeper UL FNNs include hierarchical (Sec. 4.3) self-organizing Kohonen maps (e.g., Koikkalainen and Oja, 1990; Lampinen and Oja, 1992; Versino and Gambardella, 1996; Dittenbach et al.”
• Self-organization and missing values in SOM and GTM (2015, background): “Previously many solutions, such as hierarchical [15] and growing maps [16,17], have been proposed to tackle this issue.”