Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches

I
ICDAR
2005
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Abstract - Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches

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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

Seoul, Korea

August 31-September 01

ISBN: 0-7695-2420-6

	ASCII Text	x
	Michelangelo Ceci, Margherita Berardi, Donato Malerba, "Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches," Document Analysis and Recognition, International Conference on, pp. 473-477, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.

	BibTex	x
	@article{ 10.1109/ICDAR.2005.201, author = {Michelangelo Ceci and Margherita Berardi and Donato Malerba}, title = {Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {2005}, issn = {1520-5263}, pages = {473-477}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.201}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches SN - 1520-5263 SP473 EP477 A1 - Michelangelo Ceci, A1 - Margherita Berardi, A1 - Donato Malerba, PY - 2005 KW - null VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

Michelangelo Ceci, Universita degli Studi di Bari

Margherita Berardi, Universita degli Studi di Bari

Donato Malerba, Universita degli Studi di Bari

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.201

In this paper, we evaluate and systematically compare two different (multi-)relational learning methods based on a statistical approach and a logical approach for the task of document image understanding. For a fair comparison, both methods are tested on the same real world dataset consisting of multipage articles published in an international journal. An analysis of pros and cons of both approaches is reported.

Citation:

Michelangelo Ceci, Margherita Berardi, Donato Malerba, "Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches," icdar, pp.473-477, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005

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