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» Multiple Predicate Learning for Document Image Understanding
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FLAIRS
2001
13 years 6 months ago
Multiple Predicate Learning for Document Image Understanding
Documentimageunderstandingdenotesthe recognition of semanticallyrelevant componentsin the layout extracted froma documentimage.This recognitionprocessis based on somevisual models...
Floriana Esposito, Donato Malerba, Francesca A. Li...
ILP
2000
Springer
13 years 8 months ago
Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions
Induction of recursive theories in the normal ILP setting is a complex task because of the non-monotonicity of the consistency property. In this paper we propose computational solu...
Floriana Esposito, Donato Malerba, Francesca A. Li...
AIIA
2003
Springer
13 years 9 months ago
Incremental Induction of Rules for Document Image Understanding
This paper aims at presenting the application of first-order logic machine learning techniques to two document domains in order to learn rules for recognizing the semantic role of...
Stefano Ferilli, Nicola Di Mauro, Teresa Maria Alt...
ICIP
2005
IEEE
14 years 6 months ago
Learning to binarize document images using a decision cascade
In this article, we propose a special type of decision tree, called a decision cascade, for binarizing document images. Such images are produced by cameras, resulting in varying de...
Chien-Hsing Chou, Chih-Ching Huang, Wen-Hsiung Lin...
ICDAR
2005
IEEE
13 years 10 months ago
Intelligent Document Processing
Digital repositories raise the need for an effective and efficient retrieval of the stored material. In this paper we propose the intensive application of intelligent techniques t...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...