Optimal Linear Combination for Two-Class Classifiers

Oriol Ramos Terrades 1 Salvatore Tabbone 2 Ernest Valveny 3
1 DAG - Group d'Analyse de Documents et Reconnaissance de motifs
2 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 DAG - Group d'Analyse de Documents et Reconnaissance des motifs
Abstract : Combining output classifiers has been one of the strategies used to outperform classifications rates on general purpose classification problems. In this paper we propose two linear combination rules that minimize the classifocation error under some constraints in two-class classifiers.
Type de document :
Communication dans un congrès
Sixth International Conference on Advances in Pattern Recognition - ICAPR 2007, Jan 2007, Kolkata, India. World Scientific Publishing, 2007
Liste complète des métadonnées
https://hal.inria.fr/inria-00179484
Contributeur : Oriol Ramos Terrades <>
Soumis le : lundi 15 octobre 2007 - 15:56:38
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

Identifiants

  • HAL Id : inria-00179484, version 1

Collections

INRIA | LORIA | UNIV-LORRAINE

Citation

Oriol Ramos Terrades, Salvatore Tabbone, Ernest Valveny. Optimal Linear Combination for Two-Class Classifiers. Sixth International Conference on Advances in Pattern Recognition - ICAPR 2007, Jan 2007, Kolkata, India. World Scientific Publishing, 2007. 〈inria-00179484〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

102

Contact


archive-ouverte@inria.fr