Face recognition with radial basis function (RBF) neural networks

A general and efficient design approach using a radial basis function (RBF) neural classifier to cope with small training sets of high dimension, which is a problem frequently encountered in face recognition, is presented. In order to avoid overfitting and reduce the computational burden, face featu...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2002-05, Vol.13 (3), p.697-710
Hauptverfasser:	Er, Meng Joo, Wu, Shiqian, Lu, Juwei, Toh, Hock Lye
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classifiers Computer simulation Computer vision Encapsulation Erbium Face detection Face recognition Feature extraction Humans Image processing Learning Neural networks Pattern recognition Principal component analysis Radial basis function Studies
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