A training algorithm for classification of high-dimensional data
By Armando Vieira, Nuno Pessoa Barradas. 2003
30 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- J. Urgen Schmidhuber
- David R Ha
- Alex Graves
- Sergey Levine
- Yoshua Bengio
- Quoc V. Le
- Faustino J. Gomez
- Mohit Bansal
In Computer Vision and Pattern Recognition
- J. Urgen Schmidhuber
- Luc Van Gool
- Xiaogang Wang
- Andrew Zisserman
- Trevor Darrell
- Ming-Hsuan Yang
- Dacheng Tao
- Alan L. Yuille
Citations in the corpus
- Deep learning in neural networks: An overview (2014, methodology): “FNNs with CAP depth up to 6 were used to successfully classify high-dimensional data (Vieira & Barradas, 2003).”