Learning prototype-based classification rules in a boosting framework: application to real-world and medical image categorization
Paolo Piro · HAL (Le Centre pour la Communication Scientifique Directe) · 2010
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.