Supervised learning of fuzzy ARTMAP neural networks through particle swarm optimization
By Eric Granger, Philippe Henniges, Robert Sabourin, Luiz Oliveira. 2007
32 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
- Yoshua Bengio
- Kyunghyun Cho
- Quoc V. Le
- Jianfeng Gao
- Mohit Bansal
- Percy Liang
- Eric P. Xing
- Sergey Levine
In Computer Vision and Pattern Recognition
- Yoshua Bengio
- Luc Van Gool
- Bernt Schiele
- Dacheng Tao
- Trevor Darrell
- Ming-Hsuan Yang
- Jitendra Malik
- Xiaogang Wang
Citations in the corpus
- EMNIST: an extension of MNIST to handwritten letters (2017, methodology): “Many classifiers make use of only the digit classes [13], [14], whilst others tackle the letter classes as well [15]–[18].”
- Deep Learners Benefit More from Out-of-Distribution Examples (2011, methodology): “Right: error rates on NIST test digits only, along with the previous results from literature [Granger et al., 2007, Pérez-Cortes et al., 2000, Oliveira et al., 2002, Milgram et al., 2005] respectively based on ART, nearest neighbors, MLPs, and SVMs. setting is similar for the other two target…”