1) within-class PCA
类内PCA
1.
In this paper, we use the within-class PCA method for Facial Expression Recognition and compare the approach with inter-class PCA.
类内PCA是对每一类训练样本分别进行PCA处理,使得类间样本距离增大,类内样本距离缩小。
2) within-class modular PCA
类内分块PCA
1.
Human face expression recognition based on within-class modular PCA
基于类内分块PCA方法的人脸表情识别
3) Class-within principal component analysis
分类别PCA
4) Supervised PCA (S-PCA)
监督类PCA
5) PCA classifier
PCA分类器
1.
Based on the deeply research of optimal dimension reduction and classify in PCA, we proposed the PCS-PCA classifier and TES-PCA classifier to solve the problem of high dimension and time-consuming model training existed in speaker recognition.
PCA分类器实现简单,可以快速的判断出可能的目标说话人,然后采用KFD进行最终的说话人确认。
补充资料:PCA
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CAS号:71050-62-9
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CAS号:71050-62-9
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