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» A Statistical Learning Approach To Document Image Analysis
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ICCV
2009
IEEE
16 years 4 months ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter
EMNLP
2008
15 years 1 months ago
Relative Rank Statistics for Dialog Analysis
We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a...
Juan Huerta
ICPR
2010
IEEE
14 years 9 months ago
NAVIDOMASS: Structural-based Approaches Towards Handling Historical Documents
In the context of the NAVIDOMASS project, the problematic of this paper concerns the clustering of historical document images. We propose a structural-based framework to handle the...
Salim Jouili, Mickaël Coustaty, Salvatore Tab...
CIKM
2005
Springer
15 years 5 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
ICDAR
2007
IEEE
15 years 3 months ago
Identification of Latin-Based Languages through Character Stroke Categorization
This paper presents a language identification technique that detects Latin-based languages of imaged documents without OCR. The proposed technique detects languages through the wo...
S. J. Lu, L. Li, Chew Lim Tan