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Facial Expression Classification Using RBF AND Back-Propagation Neural Networks (2000)  (Make Corrections)  
R.Q.Feitosa M.M.B.Vellasco D.T.Oliveira D.V.Andrade S.A.R.S.Maffra 1 -...



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Abstract: This article presents a facial expressions classification experiment using neural networks. The classification system is based on attributes extracted from human faces images using the principal component analysis (PCA) technique. Well-framed images were used in order to simplify the face detection on the image . Two different models of neural networks have been applied as classifiers: back-propagation and RBF networks. In the experiments for performance evaluation the networks achieved a ... (Update)

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BibTeX entry:   (Update)

@misc{ oliveira-facial,
  author = "Feitosa Vellasco Oliveira",
  title = "Facial Expression Classification Using RBF AND Back-Propagation Neural
    Networks",
  url = "citeseer.ist.psu.edu/716700.html" }
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