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Margin Emphasized Metric Learning and Its Application to Gabor Feature Based Face Recognition
face verification metric learning margin Gabor Labeled Faces in Wild
2011/7/24
In addressing side information based face recognition scenario, a new Margin Emphasized Metric Learning (MEML) method is proposed. As an improvement of previous metric learning, MEML defines a new obj...
基于不同Margin的人脸特征选择及识别方法
人脸识别 Margin 特征选择 支持向量机(SVM) 顺序后退法(SBS)
2008/4/9
Margin在机器学习中具有很重要的意义,基于margin的特征选择方法就是从分类的角度对特征集各特征的权重进行分析。该文对不同的margin进行了分析,提出将sample-margin和hypothesis-margin分别作为特征选择标准对SBS特征选择方法进行改进,然后设计具有最佳超参数的SVM多项式分类器进行人脸识别。实验在FRERT人脸图像库上进行并与Relief特征选择方法进行了比较,...
Nonlinear Face Recognition based on Maximum Average Margin Criterion
Nonlinear Face Recognition Maximum Average Margin Criterion
2005/12/31
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Machine with the Kernel ...
Nonlinear Face Recognition based on Maximum Average Margin Criterion
Face Recognition Kernel Fisher Support Vector Machine
2005/7/23
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Machine with the Kernel ...