Automatic Knowledge Acquisition for Spatial Document Interpretation

Ulm, GERMANY August 18-August 20

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http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619849

Fourth International Conference Docum ...

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	ASCII Text	x
	H. Walischewski, "Automatic Knowledge Acquisition for Spatial Document Interpretation," Document Analysis and Recognition, International Conference on, pp. 243, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.

	BibTex	x
	@article{ 10.1109/ICDAR.1997.619849, author = {H. Walischewski}, title = {Automatic Knowledge Acquisition for Spatial Document Interpretation}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {1997}, isbn = {0-8186-7898-4}, pages = {243}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619849}, 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 - Automatic Knowledge Acquisition for Spatial Document Interpretation SN - 0-8186-7898-4 SP EP A1 - H. Walischewski, PY - 1997 KW - Spatial Representation KW - Machine Learning KW - Logic Labelling VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

H. Walischewski, Daimler-Benz AG

In this paper, a qualitative representation for the layout of structured documents as well as classes of documents is presented, which is established by the means of supervised learning from a labeled training set of documents. For this formal representation, an inference algorithm has been developed, adopted from error tolerant subgraph isomorphism, which assigns logic labels to layout objects of a test document.

Index Terms:

Spatial Representation, Machine Learning, Logic Labelling

Citation:

H. Walischewski, "Automatic Knowledge Acquisition for Spatial Document Interpretation," icdar, pp.243, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997

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