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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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对有类别监督的数据进行先行判别分析用于降维
数据为结构体类型，返回数据也是降维后的结构体类型。如(a.X a.y)a.X是带有类别的数据，a.y是类别信息-Synopsis:
model = lda(data)
model = lda(data,new_dim)
Descr iption:
This function is implementation of Linear Discriminant Analysis.
The goal
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一种分类的新方法，与判别分析相似，但是能够直接寻找到多维方向，并且对数据同时分类-The Extended Canonical Variates Analysis (ECVA) is a new approach to classification. The aim is similar to discriminant analysis but it provides a direct solution to finding multivariate directions that separa
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这是模式识别中经典的LDA（线性鉴别分析）的matlab程序，对模式识别人员极有用。-This is the classic pattern recognition LDA (linear discriminant analysis) of the matlab program, very useful for pattern recognition staff.
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Kernel Discriminant Analysis a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.-Kernel Discriminant Analysis is a kernel extension of Linear Discriminant Analysis technique which is a well
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使用改进最小二乘法处理少样本，多因子实际问题，比如仪器采购价格和性能的相关性等- Partial Least-Squares and Discriminant Analysis A tutorial and tool using PLS for discriminant analysis.
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This all about Linear Discriminant Analysis-This is all about Linear Discriminant Analysis
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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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半监督鉴别分析是一种很流行的算法，它利用了现实世界的大量的无标记的数据，并对它们分类-Semi-Supervised Discriminant Analysis (Graph Embedding Way)
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基于Probabilistic Linear Discriminant Analysis的人脸识别matlab源码-matlab code for probabilistic linear discriminant analysis applied to face recognition
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This Linear Discriminant Analysis code. It is made for image processing, especially in face recognition.-This is Linear Discriminant Analysis code. It is made for image processing, especially in face recognition.
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This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpret
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本书主要以分类问题（模式识别，判别分析）和回归问题为背景，系统阐述支持向量机和相应的优化算法-This book mainly classification (pattern recognition, discriminant analysis) and regression as the background, the system describes support vector machine and the corresponding optimization
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基于支持向量机的手写体的识别源码！the recognition of handwritten digits using Kernel Discriminant Analysis.-the recognition of handwritten digits using Kernel Discriminant Analysis.
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基本思想是选择使得Fisher准则函数达到极值的向量作为最佳投影方向，从而使得样本在该方向上投影后，达到最大的类间离散度和最小的类内离散度。-Linear Discriminant Analysis (Generally, LDA can also use LGE as a subroutine. However, we can use the special graph structure of LDA to obtain some computational benefits.)
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对称矩阵相关元算，主成分分析(PCA)， fisher
discriminant analysis(FDA).，-Introduction
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This is a class for symmetric matrix related computations. It can be used for
symmetric matrix diagonalization and inversion. If given the covariance matrix,
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This my course final project for biometrics. It implements a robust face recognition system. Techniques used include Log-Gabor filter , Kernel Discriminant Analysis(KDA) and Sparse Representation . Test data included(ORL database of faces).-This is m
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SAS软件资料以及用SAS软件实现数据分析包括典型相关分析，判别分析和聚类分析等等，有具体实例可进行操作。-SAS software, data and data analysis using SAS software, including the canonical correlation analysis, discriminant analysis and cluster analysis, specific examples can be operated.
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fisher discriminant analysis
特征选取-fisher discriminant analysis
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