64 search results - page 2 / 13 » Training Multi-layer Perceptrons Using MiniMin Approach |
GECCO
1999
Springer
13 years 10 months ago
1999
Springer
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
ICIP
2009
IEEE
13 years 3 months ago
2009
IEEE
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
NN
1998
Springer
13 years 5 months ago
1998
Springer
Cross validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the overtting ...
ICANN
2007
Springer
13 years 9 months ago
2007
Springer
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
AVBPA
2003
Springer
13 years 9 months ago
2003
Springer
We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comp...