Symbolic Learning Techniques in Paper Document Processing-Reference-Cited by-同舟云学术

Symbolic Learning Techniques in Paper Document Processing

Published:1999 Issue: Volume: Page:159-173
ISSN:0302-9743
Container-title:Machine Learning and Data Mining in Pattern Recognition
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Author:

Altamura Oronzo,Esposito Floriana,Lisi Francesca A.,Malerba Donato

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-48097-8_13

Reference29 articles.

1. O. Altamura, F. Esposito & D. Malerba (1999). WISDOM++: An Interactive and Adaptive Document Analysis System. To appear in Proc. of the 5th Int. Conf. on Document Analysis and Recognition, IEEE Computer Society Press: Los Alamitos.

2. H.S. Baird (1987). The Skew Angle of Printed Documents. Proc. Conf. Of the Society of Photographic Scientists and Engineers, 14–21 (also in R.K.L. O’Gorman (ed.), Document Image Analysis, 204-208, IEEE Computer Society: Los Alamitos, CA, 1995).

3. T. Bayer, U. Bohnacher, & H. Mogg-Schneider (1994). InforPortLab: An Experimental Document Analysis System. Proc. of the IAPR Workshop on Document Analysis Systems, Kaiserslautern, Germany.

4. J.H. Connell & M. Brady. Generating and Generalizing Models of Visual Objects. Artificial Intelligence, 31, 2, 159–183, 1987.

5. A. Dengel & G. Barth. ANASTASIL: A Hybrid Knowledge-based System for Document Layout Analysis. Proc. of the 6th Int. Joint Conf. on Artificial Intelligence, 1249–1254, 1989.

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