Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1014
Title: LDA versus PCA followed by a neural classifier for facial image recognition [articol]
Authors: Mugioiu, Alexandru Cristian
Subjects: Pattern recognition
Facial recognition
CSOM
PCA
LDA
Issue Date: 2009
Publisher: Timişoara: Editura Politehnica
Citation: Mugioiu, Alexandru Cristian. LDA versus PCA followed by a neural classifier for facial image recognition. Timişoara: Editura Politehnica, 2009
Series/Report no.: Seria electronică şi telecomunicaţii, Tom 54(68), fasc. 1 (2009);
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.
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
Appears in Collections:Articole științifice/Scientific articles

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