Comparison of learning algorithms for handwritten digit recognition

1995

Abstract

This paper compares the performance of several classifier algorithms on a standard database of handwritten digits. We consider not only raw accuracy, but also rejection, training time, recognition time, and memory requirements.

Authors

Yann LeCun
L Jackel
Leon Bottou
A Brunot
Corinna Cortes
J Denker
H Drucker
Isabelle Guyon
U Muiller
E Sackinger
Isabelle Guyon
V Vapnik