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用MATLAB实现如何用判别分析法确定最佳阈值-MATLAB how discriminant analysis method to determine the optimal threshold value
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Feature scaling for kernel Fisher discriminant analysis using leave-one-out cross validation.
FS-KFDA is a package for implementing feature scaling for kernel fisher discriminant analysis.-Feature scaling for kernel Fisher discrim inant analysis us
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PCA---主成分分析 LDA---线性区别分析此类实现结合两者的有缺点实现图像模式识别,其中需要有矩阵类-PCA principal component analysis --- --- LDA linear discriminant analysis combining the two to achieve such a flawed it Image is pattern recognition, which requires matrices
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Face Recognition Using Kernel Direct Discriminant Analysis Algorithms
and Matlab source codes for the kernel direct discriminant analysis (KDDA) -Face Recognition Using Kernel Direct Disc riminant Analysis Algorithms and Matlab sourc e codes for th
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利用快速傅立叶变换实现了人脸表情图像的Gabor变换的快速算法
针对不同尺度的Gabor小波特征采用不同的下采样因子来对Gabor变换特征进行第一次降维
利用一种改进的核鉴别分析方法对Gabor特征进行二次特征提取-using fast Fourier transform of Facial Expression Gabor transform the image of the fast algorithm for different foot the Gabor wavelet cha
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Linear Discriminant Analysis算法，此压缩包中已经带有大量train和test的相关图片，用于做人脸识别。LDA算法也可以用于其他领域如语音信号处理，此代码仅供研究，请勿用于商业！
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指纹图像的分类Fingerprint classification using fast Fourier transform and
nonlinear discriminant analysis
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These are the codes in \"A note on two-dimensional linear discrimant analysis\", Pattern Recognition Letter
In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assu
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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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线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
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在图形图像处理中创建判别分析阈值的函数以求阈值，本函数对传入的CDibObject对象中的图像用判别分析法确定阈值-Image processing in the graphics to create a discriminant function analysis of the threshold to threshold, the function of the incoming image CDibObject object discriminant analysis used to de
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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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手写体识别中，对于阿拉伯数字的识别。常用的模式分类方法都可以应用。这个小程序使用的方法是线性判别分析-Handwriting recognition, for identification of Arabic numerals. Commonly used pattern classification methods can be applied. This small program uses the method is linear discriminant analysis
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这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techn
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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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提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
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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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Face recognition using DCT discriminant analysis
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基于opencv实现的c++版高斯判别分类，随机生成两类满足正态分布的训练样本点，利用高斯判别分析进行分类-Based on c++ version of the opencv, we realized gaussian discriminant classification by randomly generating two classes meet normal distribution of the training sample points, and used gaussian di
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Fisher 线性判别分析算法matlab实现及感知器算法实现-Fisher linear discrimination analysis，perceptron
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