ANNPR
2006
Springer
13 years 6 months ago
2006
Springer
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
We discuss incremental training of support vector machines in which we approximate the regions, where support vector candidates exist, by truncated hypercones. We generate the trun...
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...