| Título |
A New Algorithm for Training Multi-layered Morphological Networks |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 12th Iberoamerican Congress on Pattern Recognition |
| Resumen |
In this work we present an algorithm for training an associative memory based on the so-called multi-layered morphological perceptron with maximal support neighborhoods. We compare the proposal with the original one by performing some experiments with real images. We show the superiority of the new one. We also give formal conditions for correct classification. We show that the proposal can be applied to the case of gray-level images and not only binary images. |
| Observaciones |
Progress in Pattern Recognition, Image Analysis and Applications, CIARP 2007; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 71248 |
| Lugar |
Viña del Mar, Valparaiso |
| País |
Chile |
| No. de páginas |
546-555 |
| Vol. / Cap. |
4756 |
| Inicio |
2007-11-13 |
| Fin |
2007-11-16 |
| ISBN/ISSN |
978-3-540-76724-4 |
