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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Spelling suggestions: "subject:"nearest neighborhood (k-NN)"" "subject:"clearest neighborhood (k-NN)""

1

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

Piro, Paolo 18 January 2010 (has links) (PDF)
Résumé en français non disponible
images
indexation
classification
Sparse Multiscale Patches (SMP)
knearest neighbor (k-NN)
Universal Nearest Neighbors (UNN)
MLNN algorithm
medical image classification
radiographic images

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