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» On Computability of Pattern Recognition Problems
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SSPR
1998
Springer
15 years 10 months ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
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...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
ICPR
2004
IEEE
16 years 7 months ago
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms
A measure of stability for a wide class of pattern recognition algorithms is introduced to cope with overfitting in classification problems. Based on this concept, constructive me...
Dmitry Kropotov, Dmitry Vetrov
ICPR
2008
IEEE
16 years 8 days ago
Signature verification based on fusion of on-line and off-line kernels
The problem of signature verification is considered within the bounds of the kernel-based methodology of pattern recognition, more specifically, SVM principle of machine learning....
Vadim Mottl, Mikhail Lange, Valentina Sulimova, Al...
CIARP
2008
Springer
15 years 7 months ago
Feature Selection through Dynamic Mesh Optimization
This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionary computation techniques. Moreover, we outline its application to the feature s...
Rafael Bello, Amilkar Puris, Rafael Falcón,...
CIARP
2009
Springer
16 years 13 days ago
Image Characterization from Statistical Reduction of Local Patterns
This paper tackles the image characterization problem from a statistical analysis of local patterns in one or several images. The induced image characteristics are not defined a p...
Philippe Guermeur, Antoine Manzanera