Emotion classification using hidden layer outputs

dc.authorscopusid 55364395900
dc.authorscopusid 6506642154
dc.contributor.author Günler,M.A.
dc.contributor.author Tora,H.
dc.contributor.other Airframe and Powerplant Maintenance
dc.date.accessioned 2024-07-05T15:43:49Z
dc.date.available 2024-07-05T15:43:49Z
dc.date.issued 2012
dc.department Atılım University en_US
dc.department-temp Günler M.A., Data Communication Department, Vakiflar Bankasi T.A.O EBIS, Ankara, Turkey; Tora H., Electrical and Electronics Engineering Department, Atilim University, Ankara, Turkey en_US
dc.description.abstract Neural network (NN) with Multi-Layer Perceptron (MLP) is a supervised learning algorithm composed of artificial neurons. Multilayer NN is capable of solving nonlinear classification problems such as emotion identification by using facial expressions that is presented in this paper. Hidden layer outputs of NN provide useful information about facial appearance. This study addresses that without fully training NN hidden layer outputs can be used as feature. It is shown that an acceptable recognition rate is obtained by means of hidden layer outputs. © 2012 IEEE. en_US
dc.identifier.citationcount 3
dc.identifier.doi 10.1109/INISTA.2012.6247027
dc.identifier.isbn 978-146731446-6
dc.identifier.scopus 2-s2.0-84866604175
dc.identifier.uri https://doi.org/10.1109/INISTA.2012.6247027
dc.identifier.uri https://hdl.handle.net/20.500.14411/3668
dc.institutionauthor Tora, Hakan
dc.language.iso en en_US
dc.relation.ispartof INISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications -- International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 3
dc.subject facial expressions en_US
dc.subject image processing en_US
dc.subject Multi layer neural network en_US
dc.title Emotion classification using hidden layer outputs en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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