Price information evaluation and prediction for broiler using adapted case-based reasoning approach
Expert Systems with Applications: An International Journal
Feature Membership Functions in Voronoi-Based Zoning
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
A case-based classifier for hypertension detection
Knowledge-Based Systems
Feature representation selection based on Classifier Projection Space and Oracle analysis
Expert Systems with Applications: An International Journal
Zoning methods for handwritten character recognition: A survey
Pattern Recognition
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In pattern recognition, zoning is one of the most effective methods for extracting distinctive characteristics from patterns. So far, many zoning methods have been proposed, based on standard partitioning criteria of the pattern image. In this paper, a new technique is presented for zoning design. Zoning is considered as the result of an optimization problem and a genetic algorithm is used to find the optimal zoning that minimizes the value of the cost function associated to the classification. For this purpose, a new description of zonings by Voronoi diagrams is used, which is found to be well suited for the genetic technique. The experimental tests, carried out in the field of handwritten numeral and character recognition, show that the proposed technique leads to zonings superior to traditional zoning methods