Examination of the effect of the basic parameters of the auto-encoder on coding performance

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dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authoridCalisan, Mucahit/0000-0003-2651-5937
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.contributor.authorCalisan, Mucahit
dc.contributor.authorTalu, M. Fatih
dc.date.accessioned2024-08-04T20:44:12Z
dc.date.available2024-08-04T20:44:12Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractIn this study, artificial learning approach which can express high dimensional data in a lower space (autocoding) and known as autoencoder in the literature has been investigated in detail without using a predefined ready mathematical model. The most important feature of this method, which can be used in place of traditional feature extraction methods (HOG, SHIFT, SURF, Wavelet, etc.), is the ability to extract data-specific features. By applying the real (MNIST) and synthetic data, the effects on the success of the parameters of the method are measured and the results are presented in a tabular form.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.scopus2-s2.0-85039920699en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/98095
dc.identifier.wosWOS:000426868700110en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Artificial Intelligence and Data Processing Symposium (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep learningen_US
dc.subjectautoencoderen_US
dc.subjectfeature extractionen_US
dc.subjectfeature selectionen_US
dc.subjectdata reductionen_US
dc.subjectdimension reductionen_US
dc.titleExamination of the effect of the basic parameters of the auto-encoder on coding performanceen_US
dc.typeConference Objecten_US

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