Smoothing Parameters Selection for Dimensionality Reduction Method based on Probabilistic Distance - Application to Handwritten Recognition

Faycel El Ayeb, Faouzi Ghorbel

2013

Abstract

Here, we intend to give a rule for the choice of the smoothing parameter of the orthogonal estimate of Patrick-Fisher distance in the sense of the Mean Integrate Square Error. The orthogonal series density estimate precision depends strongly on the choice of such parameter which corresponds to the number of terms in the series expansion used. By using series of random simulations, we illustrate the better performance of its dimensionality reduction in the mean of the misclassification rate. We show also its better behavior for real data. Different invariant shape descriptors describing handwritten digits are extracted from a large database. It serves to compare the proposed adjusted Patrick-Fisher distance estimator with a conventional feature selection method in the mean of the probability error of classification.

Paper Citation

in Harvard Style

El Ayeb F. and Ghorbel F. (2013). Smoothing Parameters Selection for Dimensionality Reduction Method based on Probabilistic Distance - Application to Handwritten Recognition . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 325-330. DOI: 10.5220/0004333503250330

in Bibtex Style

@conference{icpram13,
author={Faycel El Ayeb and Faouzi Ghorbel},
title={Smoothing Parameters Selection for Dimensionality Reduction Method based on Probabilistic Distance - Application to Handwritten Recognition},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={325-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004333503250330},
isbn={978-989-8565-41-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Smoothing Parameters Selection for Dimensionality Reduction Method based on Probabilistic Distance - Application to Handwritten Recognition
SN - 978-989-8565-41-9
AU - El Ayeb F.
AU - Ghorbel F.
PY - 2013
SP - 325
EP - 330
DO - 10.5220/0004333503250330