Titlebook: Artificial Neural Networks - ICANN 2010; 20th International C Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Il Conference proceedings 201

Chronic

A Bilinear Model for Consistent Topographic Representationslication to natural inputs placed at different positions and with a consistent relative transformation (e.g. rotation), leads to an invariant topographic output representation and hence a relative implementation of the transformation in the control units, i.e. the Gabor receptive fields are transformed accordingly.

消瘦

濕潤(rùn)

Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Pr our tests, it can be concluded that when a neural network is used as classifier, the results are very similar with the two feature extraction techniques (ICA and PCA). But when the SVM classifier is used, the results are quite different, performing better the feature extractor based on ICA.

negligence

Computational Properties of Probabilistic Neural Networksd therefore the structural mixtures become less complex and less prone to overfitting. We illustrate how recognition accuracy and the effect of overfitting is influenced by mixture complexity and by the size of training data set.