Recognizing Images from ICA Filters and Neural Network Ensembles with Rule Extraction

Authors:
Guido Bologna;Christian Pellegrini
Affiliations:
Swiss Institute of Bioinformatics, Geneva 4, Switzerland 1211;Artificial Intelligence Group, Computer Science Centre, Geneva 4, Switzerland 1211
Venue:
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Year:
2009

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Abstract

This work presents ensembles of neural network models that learn to discriminate images from different categorical scenes. The basic idea was to use ICA filter energies and to train neural network ensem- bles. The presented results improved the predictive accuracy of previ- ously published work on the second classification problem. Finally, rules generated from ensembles in the less complex classification task showed that a few filters are sufficient to reach a good recognition rate, whereas many more filters are represented in the rule antecedents of the most difficult classification problem.