Learning prototype-based classification rules in a boosting framework: application to real-world and medical image categorization
Résumé
In this PhD thesis we address some major topics related to indexing and classification of images. In particular, we investigate the most relevant functional blocks of an image retrieval/categorization system, and propose original solutions to address some of their specific issues.
Résumé en français non disponible
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