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共享主成份尺度不变变换PCA-SIFT代码，用于SAR图像配准，希望对各位雷达爱好者和SAR工作者有用！-Principle component analysis, PCA- Scale invariant feature transform-SIFT used for SAR processing.
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principle component analysis example
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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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code for principle component analysis based face recognition system
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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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介绍了复值独立分量分析(Complex ICA)的基本原理和算法，提出了基于复值独立分量分析的目标识别方法并将其应用于多传感器融合的目标识别中-The basic principle and algorithm of the complex valued Independent Component Analysis
(ICA)are introduced，and a new target recognition algorithm based on the complex valued IC
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PCA Principle component analysis code
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通过在线PCA来识别手势，并能对新增手势做一定的增量，很好的实现了增量学习。算法具有效率高，识别率好，速度快等特点，同样适合其他模式识别方面的应用。-The learning method for hand gesture recognition system based on vision is commonly off-line，which results in repeated off-line learning when new hand gestures come． Its real-
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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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matlab中的PCA函数，主要用于人脸识别，采用的是特征降维的原理-MATLAB in the Principal Component Analysis function, mainly used for face recognition, using the principle of feature dimension reduction
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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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