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关于线性（FISHER）判别分析的中文文献，从核心期刊中下载得到。,About Linear (FISHER) Discriminant Analysis of English literature, from the core journals have been downloaded.
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Face Recognition, Face Detection, Lausanne Protocol, 3D Face Reconstruction,
Principal Component Analysis, Fisher Linear Discriminant Analysis,
Locality Preserving Projections, Kernel Fisher Discriminant Analysis,Face Recognition, Face Detection, L
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在AR人脸库上进行DCT变换，使用DCT变换后的图像进行 kernel fisher discriminant analysis,其中kernel 函数可以自己选择-In the AR face database on the DCT transform, using the DCT transformed image kernel fisher discriminant analysis, which can choose the kernel function
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这是一个关于Fisher线性判别分析的Matlab的m文件，给出了在高斯核下的程序源码。-This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
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模式识别经典算法：fisher判别分析的二次优化形式实现。-Classic pattern recognition algorithms: fisher discriminant analysis achieved in the form of quadratic optimization.
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使用Fisher线性鉴别分析（FLDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人，每人10幅共400幅BMP图像。-The use of Fisher linear discriminant analysis (FLDA) at Ways on ORL face database for face recognition test. Standard ORL face database contains a total of 40 people, 10 per pe
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此实验使用核Fisher鉴别分析（KFDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人，每人10幅共400幅BMP图像。-This experiment the use of nuclear Fisher discriminant analysis (KFDA) method on ORL face database for face recognition test. Standard ORL face database contains a total of 40
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基于核的fisher判别分析，中文文献，从各个核心期刊中收集，希望对大家有用-Kernel-based fisher discriminant analysis, English literature, from all the core collection of journals, U.S. hope to be useful
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fisher判别分析方法的MATLAB程序实现-fisher discriminant analysis procedures for implementation of the MATLAB
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在ar人脸库上实现Direct Fisher discriminant analysis,该方法首先对类内散布矩阵对角化，然后对类间散布矩阵对角化，使类间散布矩阵对角化的矩阵即使鉴别向量集-In the ar face database to achieve Direct Fisher discriminant analysis, this method first within-class scatter matrix diagonalization, and then between-cla
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FISHER线性鉴别分析的理论研究及其应用.PDF-FISHER linear discriminant analysis theory and its applications. PDF
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用于特征降维，特征融合，相关分析等多元数据分析的fisher鉴别分析（FLDA）Matlab代码实现。-For feature reduction, feature fusion, correlation analysis, multivariate data analysis of the fisher discriminant analysis (FLDA) Matlab code implementation.
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基于局部Fisher准则的非线性核Fisher辨别分析，应用于有监督的特征提取与高维数据的有效降维。-Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
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线性判别分析（LDA，全称Fisher Linear Discriminant Analysis）算法的C#实现源码，根据stprtool box for matlab中的LDA.m编写。用到MathNet库做相关的矩阵运算，使用zedgraph控制绘图。有简单的测试数据。- C# source code of linear discriminant analysis (LDA, full name of the Fisher Linear Discriminant Analysis) algo
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fisher线性鉴别分析 用matlab实现的源代码 对于ORL库德识别率达到96 以上-fisher Linesr discriminant analysis
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利用pca和LDA对人脸的图像先进行降维再辨别分析来实现人脸识别-Pca and LDA using the images of human faces to reduce the dimensions first and then discriminant analysis to achieve recognition
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实现fisher判别方法，对标准变量建立判别函数，然后判别位置的变量的类别-Achieve fisher discriminant analysis, discriminant function to establish the standard variables, and then determine the type of the variable position
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用于判别分析的fisher判别分析，由谢中华老师编写的源程序-Discriminant analysis
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可以对测井值进行Fisher判别分析，达到对储层类别的识别-Fisher discriminant analysis, logging value to achieve recognition for reservoir category
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利用fisher判别分析对于鸢尾花数据集进行分类(Fisher discriminant analysis was used to classify iris data sets)
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