A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection-Reference-Cited by-同舟云学术

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A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection

Published:2020-03 Issue: Volume:89 Page:103468
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Soula Arbia,Tbarki Khaoula,Ksantini Riadh,Said Salma Ben,Lachiri Zied

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference47 articles.

1. Alippi, C., Roveri, M., 2010. Virtual k-fold cross validation: An effective method for accuracy assessment. In: International Joint Conference on Neural Networks. pp. 1–6.

2. Assistance and service robotics in a human environment;Amirat;Robot. Auton. Syst.,2016

3. CBCL face database;Anon,2000

4. The use of the area under the ROC curve in the evaluation of machine learning algorithms;Bradley;Pattern Recognit.,1997

5. Incremental and decremental support vector machine learning;Cauwenberghs,2000

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