Unsupervised image classification, segmentation, and enhancement using ICA mixture models

By Te-Won Lee, Michael S. Lewicki. 2002

144 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Molecular Biology, Signal Processing

How researchers see this paper

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

In Analytical Chemistry

1. Xiao-Ping Zhang
2. J. Urgen Schmidhuber
3. Jian Zhou

In Molecular Biology

1. Xiao-Ping Zhang
2. J. Urgen Schmidhuber
3. Jian Zhou
4. Klaus Greff

In Signal Processing

1. J. Urgen Schmidhuber
2. Klaus Greff
3. Sjoerd van Steenkiste
4. Xiao-Ping Zhang
5. Jian Zhou
6. Alex Graves
7. Yoshua Bengio
8. Franccoise Beaufays

Citations in the corpus

• On the Binding Problem in Artificial Neural Networks (2020, background): “the cocktail party problem Cherry, 1953), although it has also seen application in the context of images (Lee and Lewicki, 2002).”
• An ICA Mixture Hidden Markov Model for Video Content Analysis (2008, methodology): “The presented new ICAMHMM is generic and can be applied to sequential data analysis in other applications.”