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dc.contributor.authorMugioiu, Alexandru Cristian-
dc.date.accessioned2020-03-17T12:31:17Z-
dc.date.accessioned2021-03-01T08:40:44Z-
dc.date.available2020-03-17T12:31:17Z-
dc.date.available2021-03-01T08:40:44Z-
dc.date.issued2009-
dc.identifier.citationMugioiu, Alexandru Cristian. LDA versus PCA followed by a neural classifier for facial image recognition. Timişoara: Editura Politehnica, 2009en_US
dc.identifier.urihttp://primo.upt.ro:1701/primo-explore/search?query=any,contains,LDA%20versus%20PCA%20followed%20by%20a%20neural%20classifier%20for%20facial%20image%20recognition&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo-
dc.description.abstractWe present a comparison of two feature selection methods for face recognition: Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA). We assume that the classifier is a neural system called Concurrent Self-Organizing Map (CSOM). The ORL Database of Faces is used for testing the above mentioned cascade. The experimental results are given.en_US
dc.language.isoenen_US
dc.publisherTimişoara: Editura Politehnicaen_US
dc.relation.ispartofseriesSeria electronică şi telecomunicaţii, Tom 54(68), fasc. 1 (2009);-
dc.subjectPattern recognitionen_US
dc.subjectFacial recognitionen_US
dc.subjectCSOMen_US
dc.subjectPCAen_US
dc.subjectLDAen_US
dc.titleLDA versus PCA followed by a neural classifier for facial image recognition [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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