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» Fusion of multiple classifiers
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MLMI
2004
Springer
14 years 2 months ago
Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
Norman Poh, Samy Bengio
MCS
2000
Springer
14 years 8 days ago
Classifier Instability and Partitioning
Various methods exist for reducing correlation between classifiers in a multiple classifier framework. The expectation is that the composite classifier will exhibit improved perfor...
Terry Windeatt
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
14 years 12 days 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
TWC
2011
320views more  TWC 2011»
13 years 3 months ago
Cognitive Transmissions with Multiple Relays in Cognitive Radio Networks
In cognitive radio networks, each cognitive transmission process typically requires two phases: the spectrum sensing phase and data transmission phase. In this paper, we investiga...
YuLong Zou, Yu-Dong Yao, Baoyu Zheng
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
14 years 10 days ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...