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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Cascade Classifier : Design and Application to Digit Recognition
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
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Jean Duong, Hubert Emptoz, "Cascade Classifier : Design and Application to Digit Recognition," Document Analysis and Recognition, International Conference on, pp. 1065-1069, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.69,
author = {Jean Duong and Hubert Emptoz},
title = {Cascade Classifier : Design and Application to Digit Recognition},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {1065-1069},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.69},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Cascade Classifier : Design and Application to Digit Recognition
SN - 1520-5263
SP1065
EP1069
A1 - Jean Duong,
A1 - Hubert Emptoz,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Jean Duong, LIRIS-INSA, CEDEX , France
Hubert Emptoz, LIRIS-INSA, CEDEX , France
The focus of this paper is on machine learning. More specifically, a classifier combination is proposed. We name it "cascade classifier". Conceptually, this system is based on confusion analysis and local re-training mechanism. We describe its architecture. Experiments with handwritten digit images of the MNIST (Modified NIST) database are presented.
Citation:
Jean Duong, Hubert Emptoz, "Cascade Classifier : Design and Application to Digit Recognition," icdar, pp.1065-1069, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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