DocumentCode :
3159133
Title :
Comparison of classifier methods: a case study in handwritten digit recognition
Author :
Bottou, Léon ; Cortes, Corinna ; Denker, John S. ; Drucker, Harris ; Guyon, Isabelle ; Jackel, L.D. ; LeCun, Yam ; Müller, Urs A. ; Säckinger, Eduard ; Simard, Patrice ; Vapnik, Vladimir
Author_Institution :
Neuristique, Paris, France
Volume :
2
fYear :
1994
fDate :
9-13 Oct 1994
Firstpage :
77
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 training time, recognition time, and memory requirements. When available, we report measurements of the fraction of patterns that must be rejected so that the remaining patterns have misclassification rates less than a given threshold
Keywords :
character recognition; LeNet 1; LeNet 4; database; handwritten digit recognition; image classifier; learning; multilayer neural networks; recognition time; training time; Computer aided software engineering; Databases; Handwriting recognition; Laboratories; Machine learning; NIST; Pattern recognition; Testing; Time measurement; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6270-0
Type :
conf
DOI :
10.1109/ICPR.1994.576879
Filename :
576879
Link To Document :
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