Eugen Barbu, Pierre Heroux, Sebastien Adam, Eric Trupin  Home/Search
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Abstract: Document image classification is an important step in document image analysis. Based on classification results we can tackle other tasks such as indexation, understanding or navigation in document collections. Using a document representation and an unsupervised classification method, we may group documents that from the user point of view constitute valid clusters. The semantic gap between a domain independent document representation and the user implicit representation can lead to... (Update)
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BibTeX entry: (Update)
@misc{ barbu-clustering,
author = "Eugen Barbu and Pierre Heroux and Sebastien Adam and Eric Trupin",
title = "Clustering Document Images Using a Bag of Symbols Representation",
url = "citeseer.ist.psu.edu/barbu05clustering.html" }
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