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» Combining Methods for Dynamic Multiple Classifier Systems
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MCS
2002
Springer
13 years 4 months ago
New Measure of Classifier Dependency in Multiple Classifier Systems
Abstract. Recent findings in the domain of combining classifiers provide a surprising revision of the usefulness of diversity for modelling combined performance. Although there is ...
Dymitr Ruta, Bogdan Gabrys
ICPR
2000
IEEE
13 years 9 months ago
A Theoretical Framework for Dynamic Classifier Selection
At present, the common operation mechanism of multiple classifier systems is the combination of classifier outputs. Recently, some researchers pointed out the potentialities of â€...
Giorgio Giacinto, Fabio Roli
ICPR
2000
IEEE
13 years 9 months ago
Design of Effective Multiple Classifier Systems by Clustering of Classifiers
In the field of pattern recognition, multiple classifier systems based on the combination of outputs of a set of different classifiers have been proposed as a method for the devel...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
13 years 9 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
MLDM
1999
Springer
13 years 9 months ago
Automatic Design of Multiple Classifier Systems by Unsupervised Learning
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...
Giorgio Giacinto, Fabio Roli