通过对图像特征融合的一般规律的研究，提出了一种基于二维主成分分析(简称2dpca)的图像特征融合算法。
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).
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).
针对间歇过程过渡状态下具有的复杂过程特性，提出一种基于二维动态主成分分析(2ddpca)的故障诊断方法。
A novel modeling method, two-dimensional dynamic principal component analysis (2ddpca), was developed for monitoring batch process transition in author's previous work.
提出一种将主成分分析(PCA)与最远点距离(FPD)相结合的二维形状傅里叶描述子。
This paper proposes a new Fourier shape descriptor integrated with Principal Component Analysis (PCA) and the Farthest Point Distance (FPD).
用主成分分析并绘制二维排序图，发现水稻二化螟、茭白二化螟交迭在一体。
Two dimension distribution figure was drawn by principal component analysis, which revealed that the striped stem borers overlapped.
用主成分分析并绘制二维排序图，发现水稻二化螟、茭白二化螟交迭在一体。
Two dimension distribution figure was drawn by principal component analysis, which revealed that the striped stem borers overlapped.
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