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Learning prototype-based classification rules in a boosting framework: application to real-world and medical image categorization

Abstract : 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.
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https://tel.archives-ouvertes.fr/tel-00590403
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Submitted on : Tuesday, May 3, 2011 - 2:14:42 PM
Last modification on : Monday, October 12, 2020 - 10:30:32 AM
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  • HAL Id : tel-00590403, version 1

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Paolo Piro. Learning prototype-based classification rules in a boosting framework: application to real-world and medical image categorization. Human-Computer Interaction [cs.HC]. Université Nice Sophia Antipolis, 2010. English. ⟨tel-00590403⟩

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