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Authors: Ibtissem Ben Othman ; Wissal Drira ; Faycel El Ayeb and Faouzi Ghorbel

Affiliation: School of Computer Sciences, Tunisia

ISBN: 978-989-758-089-5

Keyword(s): Artificial Neural Networks, Classifier Stability, Dimension Reduction, Error Rate Probability Density Function, Kernel-diffeomorphism Plug-in Algorithm, Patrick-Fischer Distance Estimator, Stability.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: In the industrial field, the artificial neural network classifiers are currently used and they are generally integrated of technologic systems which need efficient classifier. Statistical classifiers also have been developed in the same direction and different associations and optimization procedures have been proposed as Adaboost training or CART algorithm to improve the classification performance. However, the objective comparison studies between these novel classifiers stay marginal. In the present work, we intend to evaluate with a new criterion the classification stability between neural networks and some statistical classifiers based on the optimization Fischer criterion or the maximization of Patrick-Fischer distance orthogonal estimator. The stability comparison is performed by the error rate probability densities estimation which is valorised by the performed kernel-diffeomorphism Plug-in algorithm. The results obtained show that the statistical approaches are more stable com pared to the neural networks. (More)

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Paper citation in several formats:
Othman, I.; Drira, W.; El Ayeb, F. and Ghorbel, F. (2015). Comparison of Statistical and Artificial Neural Networks Classifiers by Adjusted Non Parametric Probability Density Function Estimate.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 672-678. DOI: 10.5220/0005360906720678

@conference{visapp15,
author={Ibtissem Ben Othman. and Wissal Drira. and Faycel El Ayeb. and Faouzi Ghorbel.},
title={Comparison of Statistical and Artificial Neural Networks Classifiers by Adjusted Non Parametric Probability Density Function Estimate},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={672-678},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005360906720678},
isbn={978-989-758-089-5},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Comparison of Statistical and Artificial Neural Networks Classifiers by Adjusted Non Parametric Probability Density Function Estimate
SN - 978-989-758-089-5
AU - Othman, I.
AU - Drira, W.
AU - El Ayeb, F.
AU - Ghorbel, F.
PY - 2015
SP - 672
EP - 678
DO - 10.5220/0005360906720678

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