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» A Statistical Learning Approach To Document Image Analysis
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ICDAR
2009
IEEE
15 years 1 months ago
Invariant Primitives for Handwritten Arabic Script: A Contrastive Study of Four Feature Sets
The choice of relevant features is very decisive in handwriting recognition rate. Our aim is to present some useful structural and statistical features and see their degree of var...
Sofiene Haboubi, Samia Maddouri, Noureddine Ellouz...
ICDAR
2003
IEEE
15 years 8 months ago
Handwritten character recognition using elastic matching based on a class-dependent deformation model
For handwritten character recognition, a new elastic image matching (EM) technique based on a class-dependent deformation model is proposed. In the deformation model, any deformat...
Seiichi Uchida, Hiroaki Sakoe
MCS
2005
Springer
15 years 8 months ago
Ensembles of Classifiers from Spatially Disjoint Data
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
COLING
2010
14 years 10 months ago
Learning Phrase Boundaries for Hierarchical Phrase-based Translation
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
Zhongjun He, Yao Meng, Hao Yu
ICDAR
2003
IEEE
15 years 8 months ago
A Hybrid On/Off Line Handwritten Signature Verification System
This paper proposes a new hybrid handwritten signature verification system where the on-line reference data acquired through a digitizing tablet serves as the basis for the segmen...
Alessandro Zimmer, Luan Ling Lee