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
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