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» A Statistical Learning Approach To Document Image Analysis
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DAS
2010
Springer
13 years 11 months ago
A kernel-based approach to document retrieval
In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain ...
Albert Gordo, Jaume Gibert, Ernest Valveny, Mar&cc...
ICCV
2003
IEEE
14 years 9 months ago
Learning How to Inpaint from Global Image Statistics
Inpainting is the problem of filling-in holes in images. Considerable progress has been made by techniques that use the immediate boundary of the hole and some prior information o...
Anat Levin, Assaf Zomet, Yair Weiss
DAGM
2007
Springer
14 years 1 months ago
Image Statistics and Local Spatial Conditions for Nonstationary Blurred Image Reconstruction
Deblurring is important in many visual systems. This paper presents a novel approach for nonstationary blurred image reconstruction with ringing reduction in a variational Bayesian...
Hongwei Zheng, Olaf Hellwich
ICPR
2004
IEEE
14 years 8 months ago
Morphological Tagging Approach in Document Analysis of Invoices
In this paper a morphological tagging approach for document image invoice analysis is described. Tokens close by their morphology and confirmed in their location within different ...
Abdel Belaïd, Yolande Belaïd
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao