Adaptive and Interactive Approaches to Document Analysis-Reference-Cited by-同舟云学术

Adaptive and Interactive Approaches to Document Analysis

Published:2008 Issue: Volume: Page:221-257
ISSN:1860-949X
Container-title:Machine Learning in Document Analysis and Recognition
language:
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Author:

Nagy George,Veeramachaneni Sriharsha

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-76280-5_9.pdf

Reference153 articles.

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3. Veeramachaneni, S., Sarkar, P., Nagy, G.: Modeling Context as Statistical De-pendence, in Procs. Modeling and Using Context: 5th International and In-terdisciplinary Conference CONTEXT 2005, Paris, France, July 5-8, (2005). Lecture Notes in Computer Science, Volume 3554, pp. 515-528, Jul 2005.

4. Bouquet, P., Serafini L.: Comparing formal theories of context in AI. Artificial Intelligence, (2004). 155: pp. 1-67.

5. Modeling and Using Context: Second International and Interdisciplinary Con- ference, CONTEXT’99, Trento, Italy, September pp. 9-11, (1999), Proceedings Lecture Notes in Computer Science Vol. 1688 Bouquet, P.; Serafini, L.; Brezillon, P.; Benerecetti, M.; Castellani, F. (Eds.)

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