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ICDAR
1999
IEEE
14 years 2 months ago
MergeLayouts: Overcoming Faulty Segmentations by a Comprehensive Voting of Commercial OCR Devices
In this paper, we will present a comprehensive voting approach, taking entire layouts obtained from commercial OCR devices as input. Such a layout comprises segments of three kind...
Stefan Klink, Thorsten Jäger
ICDAR
2007
IEEE
14 years 4 months ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
IJCSS
2000
98views more  IJCSS 2000»
13 years 9 months ago
The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce c
The process of extracting knowledge from data involves the discovery of patterns of interest which may be implicit, for instance, in speci
Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan

Source Code
1919views
14 years 10 months ago
tvreg: Variational Imaging Methods for Denoising, Deconvolution, Inpainting, and Segmentation
TV-based image restoration with options for deconvolution, inpainting, and different noise models. Chan-Vese segmentation also included. Usable from C, C++, or MATLAB.
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
14 years 3 months ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak