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» A Statistical Learning Approach To Document Image Analysis
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ISOLA
2010
Springer
13 years 5 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
ECCV
2008
Springer
14 years 9 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
ICPR
2008
IEEE
14 years 8 months ago
Generic scale-space process for handwriting documents analysis
This paper presents a generic architecture for handwriting documents analysis. It covers all analysis steps from the content description of the document (layout analysis, handwrit...
Guillaume Joutel, Hubert Emptoz, Véronique ...
DRR
2008
13 years 8 months ago
Efficient implementation of local adaptive thresholding techniques using integral images
Adaptive binarization is an important first step in many document analysis and OCR processes. This paper describes a fast adaptive binarization algorithm that yields the same qual...
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 27 days ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...