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Titlebook: Artificial Neural Networks in Pattern Recognition; Second IAPR Workshop Friedhelm Schwenker,Simone Marinai Conference proceedings 2006 Spri

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Festschrift in Honor of R. Dennis Cook with each face orientation. To select the best localization hypothesis, we combine radiometric and probabilistic information. The method is quite fast and accurate. The mean localization error (estimated on more than 700 test images) is lower than 9%.
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An Experimental Study on Training Radial Basis Functions by Gradient Descente full supervised training by gradient descent proposed recently in same papers. We conclude that a fully supervised training performs generally better. We also compare . with . and we conclude that . suppose a reduction in the number of iterations.
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,Wintergrüne Gärten in Mitteleuropa,M is experimented in the field of speech recognition in order to evaluate its performance for such time variable application and to prove that biological models are capable of giving good results as stochastic and hybrid ones.
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