Using the RRT algorithm to optimize classification systems for handwritten digits and letters

By P. Radtke, Robert Sabourin, Tony Wong. 2008

9 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

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

1. Gregory Cohen
2. Saeed Afshar
3. Jonathan C. Tapson
4. A. van Schaik
5. Peter Kairouz
6. Ullrich Köthe
7. Peter Sorrenson
8. Bernt Schiele

Citations in the corpus

• EMNIST: an extension of MNIST to handwritten letters (2017, background): “Many classifiers make use of only the digit classes [13], [14], whilst others tackle the letter classes as well [15]–[18].”
• Convolutional Neural Network Committees for Handwritten Character Classification (2011, unknown): “06 [22] 3.”