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» On Combining Classifiers
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PAKDD
2005
ACM
114views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
Chia Huey Ooi, Madhu Chetty
AVBPA
2003
Springer
190views Biometrics» more  AVBPA 2003»
14 years 3 months ago
Combining Face and Iris Biometrics for Identity Verification
Face and iris identification have been employed in various biometric applications. Besides improving the verification performance, the fusion of both of the biometrics has several ...
Yunhong Wang, Tieniu Tan, Anil K. Jain
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
14 years 1 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
ICPR
2000
IEEE
14 years 2 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
FLAIRS
2008
14 years 4 days ago
Genetic Approach for Optimizing Ensembles of Classifiers
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
Francisco Javier Ordóñez, Agapito Le...