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Description: Fisher线性判别决策器，用在模式识别中-Fisher Linear Discriminant decision-making devices used in pattern recognition
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Size: 1024 |
Author: liuyan |
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Description: fisher discrimination analysis
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Size: 1024 |
Author: xuyan |
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Description: 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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Size: 2048 |
Author: 邵珠立 |
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Description: 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-class scatter matrix diagonalization, so that between-class scatter matrix diagonalization of the matrix even if the identification of a vector set
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Size: 1024 |
Author: 邵珠立 |
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Description: a good paper introducing Fisher Information matrix-A User Manual for the Fisher Information Matrix
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Size: 317440 |
Author: gu bo |
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Description: fisher线性判别器，方法简单直观，对于多维样本有较好的分类能力-fisherclassifer
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Size: 1024 |
Author: zhang hui |
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Description: I found it s so terriable to search Fisher s exact test well written in matlab. So here is the file that produces p-value efficient, with good examples, easy for beginner s without any knowledge about theory behind.
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Size: 2048 |
Author: Karthi |
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Description: Face Recognition by Fisher and Scatter Linear Discriminant Analysis.rar
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Size: 160768 |
Author: seven |
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Description: matlab 程序,是模式识别中的FISH算法的实现,附运行结果 -MATLAB program, the FISH pattern recognition algorithm to achieve, with a running results
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Size: 19456 |
Author: xiaoxiaoyuan |
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Description: 两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。-Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window method estimates non-parametric classification procedures, Fisher Linear Discriminant classifier program.
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Size: 39936 |
Author: wanwei |
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Description: face regention system using DCT and fisher algoritm shows the efficent method for face regention to identify good match between the data base images.
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Size: 21504 |
Author: Selvakumar |
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Description: linear discrimination using fisher
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Size: 61440 |
Author: taha |
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Description: 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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Size: 2048 |
Author: gameshadow |
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Description: 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) algorithm , according to LDA.m of stprtool box for matlab . Use MathNet library to do matrix operations,and use zedgraph control for drawing. Thers has a simple test data.
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Size: 435200 |
Author: 李洪涛 |
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Description: 模式识别课程中很重要的一种判决方法，fisher判决法的实现和检验，有助于加深理解fisher算法。-Pattern Recognition course a very important decision method, fisher sentence law implementation and testing, will help to deepen understanding of fisher algorithm.
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Size: 4096 |
Author: nili |
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Description: fisher模式识别线性判别分析，在信号处理中运用比较普遍-fisher linear discriminant analysis pattern recognition, signal processing used in the more common
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Size: 4096 |
Author: 杨光 |
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Description: 人脸识别 做PRIJECT会用到 FISHER face-Fisher face recognition
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Size: 4096 |
Author: 刘翼腾 |
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Description: 简单的费舍尔判别法程序，遵循类内类间分类规则-Fisher Discriminant simple procedure, follow the category classification rules between classes
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Size: 3072 |
Author: clover |
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Description: 费希尔线性判别分析代码
Find the Fisher linear separator w (a column vector).
X is is the training set (X is a matrix. Each row of X
is a vector containing the features of a single sample). y is
a column vector with the labels of the training set (1 and -1).
alg is a number between 1 and 3 that specifies how to find w:
alg = 1: w is the generalized eigenvalue of A,B.
alg = 2: w is the solution to Bw = (mu_1-mu_2)
alg = 3: solve the corresponding regression problem- Find the Fisher linear separator w (a column vector).
X is is the training set (X is a matrix. Each row of X
is a vector containing the features of a single sample). y is
a column vector with the labels of the training set (1 and-1).
alg is a number between 1 and 3 that specifies how to find w:
alg = 1: w is the generalized eigenvalue of A,B.
alg = 2: w is the solution to Bw = (mu_1-mu_2)
alg = 3: solve the corresponding regression problem
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Size: 1024 |
Author: 王庆香 |
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Description: Fisher线性鉴别分析方法(FLDA)-Fisher linear discriminant analysis (FLDA)
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Size: 1024 |
Author: 万鹏程 |
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