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143
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IJON
2011
186views more  IJON 2011»
14 years 6 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia
131
Voted
ICDAR
2007
IEEE
15 years 9 months ago
Multi-Objective Optimization for SVM Model Selection
In this paper, we propose a multi-objective optimization method for SVM model selection using the well known NSGA-II algorithm. FA and FR rates are the two criteria used to find ...
Clément Chatelain, Sébastien Adam, Y...
123
Voted
ICPR
2000
IEEE
16 years 4 months ago
Experiments with an Extended Tangent Distance
Invariance is an important aspect in image object recognition. We present results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Tho...
122
Voted
ICPR
2002
IEEE
16 years 4 months ago
Handwritten Character Recognition Based on Structural Characteristics
In this paper a handwritten character recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical hist...
Ergina Kavallieratou, Nikos Fakotakis, George K. K...
144
Voted
ICFHR
2010
151views Biometrics» more  ICFHR 2010»
14 years 10 months ago
Error Reduction by Confusing Characters Discrimination for Online Handwritten Japanese Character Recognition
To reduce the classification errors of online handwritten Japanese character recognition, we propose a method for confusing characters discrimination with little additional costs....
Xiang-Dong Zhou, Da-Han Wang, Masaki Nakagawa, Che...