7 search results - page 1 / 2 » A Modified Minimum Classification Error (MCE) Training Algor... |
VLSISP
2002
13 years 3 months ago
2002
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
SSPR
1998
Springer
13 years 8 months ago
1998
Springer
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
In our previous work, a precision constrained Gaussian model (PCGM) was proposed for character modeling to design compact recognizers of handwritten Chinese characters. A maximum ...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
The classification performance of nearest prototype classifiers largely relies on the prototype learning algorithms, such as the learning vector quantization (LVQ) and the minimum...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
We aim to improve the accuracy of handwritten Chinese character recognition using two advanced techniques: discriminative feature extraction (DFE) and discriminative learning quad...