Comparaison des méthodes probabilistes et évidentielles de fusion de classifieurs pour la reconnaissance de mots manuscrits
Identifieur interne : 000765 ( France/Analysis ); précédent : 000764; suivant : 000766Comparaison des méthodes probabilistes et évidentielles de fusion de classifieurs pour la reconnaissance de mots manuscrits
Auteurs : Yousri Kessentini [France] ; Thierry Paquet [France] ; Thomas Burger [France]Source :
Abstract
Dans le cadre de la reconnaissance de mots manuscrits, nous proposons de comparer l'efficacité des méthodes probabilistes et évidentielles de combinaison de classifieurs MMC. Les performances obtenues indiquent que dans le cas de bases de données simples, les méthodes probabilistes sont plus efficaces. A l'inverse, sur des bases de données plus difficiles (lexique large, classifieurs individuels peu performants, etc.), la théorie des fonctions de croyance est plus efficace tout en ouvrant de nouvelles perspectives en termes de prise de décisions partielles.
Url:
Affiliations:
- France
- Haute-Normandie, Région Bretagne, Région Normandie
- Brest, Le Havre, Lorient, Rouen
- Université de Bretagne Occidentale, Université de Bretagne-Sud, Université de Rouen, Université du Havre, Université européenne de Bretagne
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000449
- to stream Hal, to step Curation: 000449
- to stream Hal, to step Checkpoint: 000444
- to stream Main, to step Merge: 000923
- to stream Main, to step Curation: 000916
- to stream Main, to step Exploration: 000916
- to stream France, to step Extraction: 000765
Links to Exploration step
Hal:hal-00448595Le document en format XML
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Les performances obtenues indiquent que dans le cas de bases de données simples, les méthodes probabilistes sont plus efficaces. A l'inverse, sur des bases de données plus difficiles (lexique large, classifieurs individuels peu performants, etc.), la théorie des fonctions de croyance est plus efficace tout en ouvrant de nouvelles perspectives en termes de prise de décisions partielles.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Haute-Normandie</li><li>Région Bretagne</li><li>Région Normandie</li></region><settlement><li>Brest</li><li>Le Havre</li><li>Lorient</li><li>Rouen</li></settlement><orgName><li>Université de Bretagne Occidentale</li><li>Université de Bretagne-Sud</li><li>Université de Rouen</li><li>Université du Havre</li><li>Université européenne de Bretagne</li></orgName></list><tree><country name="France"><region name="Région Normandie"><name sortKey="Kessentini, Yousri" sort="Kessentini, Yousri" uniqKey="Kessentini Y" first="Yousri" last="Kessentini">Yousri Kessentini</name></region><name sortKey="Burger, Thomas" sort="Burger, Thomas" uniqKey="Burger T" first="Thomas" last="Burger">Thomas Burger</name><name sortKey="Paquet, Thierry" sort="Paquet, Thierry" uniqKey="Paquet T" first="Thierry" last="Paquet">Thierry Paquet</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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