Effects of training set dimension on recognition of dysmorphic faces with statistical classifiers
Joint Authors
Erogul, Asman
Taspinar, Necmi
Saraydemir, Safak
Kayserili, Hulya
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 2 (31 Mar. 2015), pp.205-211, 7 p.
Publisher
Publication Date
2015-03-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, an evaluation using various training data sets for discrimination of dysmorphic facial features with distinctive information will be presented.
We utilize Gabor Wavelet Transform (GWT) as feature extractor, K-Nearest Neighbor (K-NN) and Support Vector Machines (SVM) as statistical classifiers.
We analyzed the classification accuracy according to increasing dimension of training data set, selecting kernel function for SVM and distance metric for K-NN.
At the end of the overall classification task, GWT-SVM approach with Radial Basis Function (RBF) kernel type achieved the best classification accuracy rate as 97,5% with 400 images in training data set.
American Psychological Association (APA)
Saraydemir, Safak& Taspinar, Necmi& Erogul, Asman& Kayserili, Hulya. 2015. Effects of training set dimension on recognition of dysmorphic faces with statistical classifiers. The International Arab Journal of Information Technology،Vol. 12, no. 2, pp.205-211.
https://search.emarefa.net/detail/BIM-581840
Modern Language Association (MLA)
Saraydemir, Safak…[et al.]. Effects of training set dimension on recognition of dysmorphic faces with statistical classifiers. The International Arab Journal of Information Technology Vol. 12, no. 2 (Mar. 2015), pp.205-211.
https://search.emarefa.net/detail/BIM-581840
American Medical Association (AMA)
Saraydemir, Safak& Taspinar, Necmi& Erogul, Asman& Kayserili, Hulya. Effects of training set dimension on recognition of dysmorphic faces with statistical classifiers. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 2, pp.205-211.
https://search.emarefa.net/detail/BIM-581840
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 209-210
Record ID
BIM-581840