LDA versus PCA followed by a neural classifier for facial image recognition [articol]

dc.contributor.author	Mugioiu, Alexandru Cristian
dc.date.accessioned	2020-03-17T12:31:17Z
dc.date.accessioned	2021-03-01T08:40:44Z
dc.date.available	2020-03-17T12:31:17Z
dc.date.available	2021-03-01T08:40:44Z
dc.date.issued	2009
dc.identifier.citation	Mugioiu, Alexandru Cristian. LDA versus PCA followed by a neural classifier for facial image recognition. Timişoara: Editura Politehnica, 2009	en_US
dc.identifier.uri	http://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.abstract	We 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.iso	en	en_US
dc.publisher	Timişoara: Editura Politehnica	en_US
dc.relation.ispartofseries	Seria electronică şi telecomunicaţii, Tom 54(68), fasc. 1 (2009);
dc.subject	Pattern recognition	en_US
dc.subject	Facial recognition	en_US
dc.subject	CSOM	en_US
dc.subject	PCA	en_US
dc.subject	LDA	en_US
dc.title	LDA versus PCA followed by a neural classifier for facial image recognition [articol]	en_US
dc.type	Article	en_US