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- W1948057597 abstract "This paper presents some new results on face recognition using Radial Basis Function (RBF) Neural Networks. First, face features are extracted by discriminant eigenfeatures. Then, a general approach, which determines the initial structure and parameters of RBF neural networks, is presented. A hybrid learning algorithm is used to dramatically decrease the dimension of the search space in the gradient method, which is crucial on optimization of high-dimension problem. Experimental results conducted on the ORL database image of Cambridge University show that the error rate is 1.5% which is a tremendous improvement over the best existing result of 3.83%." @default.
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- W1948057597 date "2003-01-22" @default.
- W1948057597 modified "2023-09-25" @default.
- W1948057597 title "Face recognition using radial basis function (RBF) neural networks" @default.
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- W1948057597 doi "https://doi.org/10.1109/cdc.1999.831240" @default.
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