二维广义主成分分析 two-dimensional image principal component analysis
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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.
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