Machine learning in document analysis and recognition
Collection : Studies in computational intelligence. Mention d'édition :1st ed. Publié par : Springer ([S.l.] ) Détails physiques : 434 p. 25 cm. ISBN :3540762795 (hardcover); 9783540762799 (hardcover).
Sujet(s) :
Artificial intelligence
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Documentation--Data processing
|
Engineering
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Engineering mathematics
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Machine learning
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Optical pattern recognition
Année : 2008
| Type de document | Site actuel | Cote | Statut | Date de retour prévue | Code à barres | Réservations |
|---|---|---|---|---|---|---|
| Livre | La bibliothèque des sciences de l'ingénieur | 006.31 MAR (Parcourir l'étagère) | Disponible | 0000000019047 |
Total des réservations: 0
The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world including pointers to challenges and opportunities for future research directions. The main goals of the book are identification of good practices for the use of learning strategies in DAR, identification of DAR tasks more appropriate for these techniques, and highlighting new learning algorithms that may be successfully applied to DAR.
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