通过综合运用主成分分析和层次分析方法，建立系统综合评价的AHP变量加权主成分分析模型。

Using the methods of Principal Component Analysis (PCA) and the Analytical Hierarchy Process(AHP), the paper proposes the synthetic evaluating model of PCA with weighted variables by AHP.

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针对二维主成分分析（2DPCA）提取的是人脸的全局特征，但局部特征对人脸识别的作用非常大，提出了一种基于局部特征的自适应加权2DPCA。

From researching on the universal principle of feature fusion of image, a new algorithm was proposed which based on the 2 dimension principal component analyses(for short 2DPCA).

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计算加权加速度，使用拉亚·普诺夫指数的公式，借鉴了主成分分析算法(PCA)。

Weighted acceleration, Raya Punuo Fu index using the formula, it draws on principal component analysis algorithm (PCA).

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