dc.contributor.author | Saraydemir, Safak | |
dc.contributor.author | Kayserili, Hulya | |
dc.contributor.author | Erogul, Osman | |
dc.contributor.author | TAŞPINAR, NECMİ | |
dc.date.accessioned | 2021-03-03T14:02:28Z | |
dc.date.available | 2021-03-03T14:02:28Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Saraydemir S., TAŞPINAR N., Erogul O., Kayserili H., "Effects of Training Set Dimension on Recognition of Dysmorphic Faces with Statistical Classifiers", INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, cilt.12, sa.2, ss.205-211, 2015 | |
dc.identifier.issn | 1683-3198 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_376d8d15-a282-41bb-8030-4f36e5662f1c | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/41384 | |
dc.description.abstract | 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 (GW7) 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. | |
dc.language.iso | eng | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Sinyal İşleme | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | Algoritmalar | |
dc.subject | Bilgi Güvenliği ve Güvenilirliği | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.subject | Mühendislik | |
dc.subject | BİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Bilgisayar Bilimi | |
dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
dc.title | Effects of Training Set Dimension on Recognition of Dysmorphic Faces with Statistical Classifiers | |
dc.type | Makale | |
dc.relation.journal | INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY | |
dc.contributor.department | Bezmiâlem Vakıf Üniversitesi , , | |
dc.identifier.volume | 12 | |
dc.identifier.issue | 2 | |
dc.identifier.startpage | 205 | |
dc.identifier.endpage | 211 | |
dc.contributor.firstauthorID | 221441 | |