A progressive learning method for symbols recognition

Sabine Barrat 1 Salvatore Tabbone 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper deals with a progressive learning method for symbols recognition which improves its own recognition rate when new symbols are recognized in graphics documents. We propose a discriminant analysis method which provides allocation rules from learning samples with known classes. However a discriminant analysis method is efficient only if learning samples and data are defined in the same conditions but it is rare in real life. In order to overcome this problem, a conditional vector is added to each observation to take into account the parasitic effects between the data and the learning samples. We propose also an adaptation to consider the user feedback.
Type de document :
Communication dans un congrès
22nd Annual ACM Symposium on Applied Computing - SAC 2007, Mar 2007, Seoul, South Korea. ACM, pp.627-631, 2007
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00118309
Contributeur : Sabine Barrat <>
Soumis le : lundi 4 décembre 2006 - 17:14:40
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59
Document(s) archivé(s) le : mardi 6 avril 2010 - 23:49:23

Fichier

DE-108.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00118309, version 1

Collections

Citation

Sabine Barrat, Salvatore Tabbone. A progressive learning method for symbols recognition. 22nd Annual ACM Symposium on Applied Computing - SAC 2007, Mar 2007, Seoul, South Korea. ACM, pp.627-631, 2007. 〈inria-00118309〉

Partager

Métriques

Consultations de la notice

174

Téléchargements de fichiers

84