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基于Ensemble的增量分类方法
增量 分类 Ensemble学习
2009/8/6
针对在维护数据挖掘模型过程中须反复计算数据集、效率较低的问题，基于Ensembles学习思想，研究增量数据集的弱分类器生成方法，根据增量数据集分类器之间的相异度提出新的组合分类算法，分析组合分类器的出错率。实验结果表明，该分类方法是有效的。
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
Hierarchical Ensemble of Global Local Classifiers Face Recognition
2010/12/20
In the literature of psychophysics and neurophysiology,many studies have shown that both global and local features are crucial for face representation and recognition. This paper
proposes a novel fac...
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
Global Local Classifiers Face Recognition
2010/12/17
In the literature of psychophysics and neurophysiology,many studies have shown that both global and local features are crucial for face representation and recognition. This paper proposes a novel face...
Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition
Gabor Fisher Classifier Face Recognition
2010/12/16
Gabor feature has been widely recognized as one of the best representations for face recognition. However,traditionally, it has to be reduced in dimension due to
curse of dimensionality. In this pape...
Ensemble of Piecewise FDA Based on Spatial Histograms of Local (Gabor) Binary Patterns for Face Recognition
Ensemble ofPiecewise FDA Spatial Histograms of Local (Gabor) Binary Patterns Face Recognition
2010/12/16
Spatial histogram* of Local Binary Pattern (LBP)and Local Gabor Binary Pattern (LGBP) has been
successfully applied to face recognition and achieved state-of-the-art performance. Both LBP and LGBP ut...