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针对主成分分析仅以数据符合高斯分布为前提，本程序可以对符合贝努力分布的二值序列进行主成分分析-binary principle component analysis
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Image fusion is a process which combines the data from two or more source images from the same scene to
generate one single image containing more precise details of the scene than any of the source images. Among
many image fusion methods like ave
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calculation algorithm for principle component analysis based kernel of any image database.
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非下采样轮廓波变换域与二维主成分分析结合-nonsubsambled contourlet transform and two dimensional principle component analysis
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非下采样轮廓波变换与二维主分量分析的循环模式计算-nonsubsambled contourlet transform and two dimensional principle component analysis cycle module calculation
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非下采样轮廓波变换与二维主分量分析循环模式进行局部计算-nonsubsambled contourlet transform and two dimensional principle component analysis cycle module calculation local feature
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非降采样轮廓波与二维主成分分析采用循环模式计算无符号局部特征-nonsubsambled contourlet transform and two dimensional principle component analysis cycle module calculation no sign local feature
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主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as
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A moving object detection method based on artificial bee colony algorithm. Moving target detection problem will be converted to the use of independent component analysis
Principle issue, the choice of kurtosis as a criterion for solving signal inde
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该方法利用人脸具有镜像对称的自然特性，依据奇偶分解原理，生成成镜像奇、偶对称样本，井利用人脸对称图像作为训练样本，再利用主分量分析(PCA)对训练样本进行二阶相关和降维处理，然后对处理后的样本进行ICA特征提取。理论和分析实验证明，该算法有效减线了人脸受到视角、光照、人脸表情、姿势变化等因素的最响，又增加了训练样本容量，减少了计算复杂度，同时有效解决了小样本问题，提高了识别率.(The method uses the natural characteristics of mirror symme
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