Ponencia
Optimizing a Classification System for HEp-2 Cells by Evolutionary Computation
Autor/es | Mateos García, Daniel
García Gutiérrez, Jorge Riquelme Santos, José Cristóbal |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2012 |
Fecha de depósito | 2022-12-12 |
Publicado en |
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Resumen | In this work, we describe a classification system to
automatically recognize the pattern of HEp-2 cells
within IIF images. For this purpose we have carried
out several steps to preprocess the data, select a
proper ... In this work, we describe a classification system to automatically recognize the pattern of HEp-2 cells within IIF images. For this purpose we have carried out several steps to preprocess the data, select a proper predictor and generate a model. The use of Evolutionary Computation in the feature selection step and the optimization of the classification system is the main contribution of this work. |
Cita | Mateos García, D., García Gutiérrez, J. y Riquelme Santos, J.C. (2012). Optimizing a Classification System for HEp-2 Cells by Evolutionary Computation. En 1st International Contest on HEp-2 Cells Classification hosted by the 21th International Conference on Pattern Recognition (ICPR 2012) (21-22), Tsukuba, Japan: International Association for Pattern Recognition (IAPR). |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Congreso1.pdf | 2.453Mb | [PDF] | Ver/ | |