Description: 笔者自行编写的Matlab环境下的人脸识别算法小实验，
采用的是经典的PCA算法，主要内容是采用SVD方法提取出象素空间上的
PCA主分量特征，分类算法上仅是基于最小距离分类
-The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier Platform: |
Size: 27648 |
Author:杨愚根 |
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Description: PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection! Platform: |
Size: 8192 |
Author:chen |
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Description: 这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier Platform: |
Size: 3072 |
Author:pan |
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Description: （压缩包里一共有5个代码）
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat
4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat
5.用runfnn.m对rstest进行测试得到其识别率
savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.-pca+ lda+ Rough Set+ fuzzy neural network
saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat
Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat
2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat
3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat
4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat
5. Rstest used to test for runfnn.m by its recognition rate
cm.m is savem.m and minimum distance classifier on the training set and test set classificati Platform: |
Size: 2048 |
Author:dong |
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Description: 通过用最小距离分类判别方法，用MATLAB程序找出最小距离分类判别时的识别界面，从而进行识别已知的两类训练样本，并分析其识别错误率。-By using minimum distance classifier discriminant method, using MATLAB program to find the minimum distance classifier recognition interface when the judge, which is known to identify the two types of training samples, and analyze the recognition error rate. Platform: |
Size: 4096 |
Author:lixue |
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Description: 利用最小距离分类器分类3种尾植物的完整实现代码-Minimum distance classifier using three kinds of classification of plants complete the end of the implementation code Platform: |
Size: 2048 |
Author:tianwenxu |
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Description: 最小距离分类器，针对图像进行分类的算法，采用了模式识别的思想。-Minimum distance classifier for image classification algorithm, using the idea of pattern recognition. Platform: |
Size: 1024 |
Author:lining |
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Description: 眼底病变的识别,使用对比度增强的方法。分类器使用了：最小距离分类器、Fisher线性分类器、二次分类器等。-Identification of fundus lesions, using the method of contrast enhancement. The classifier used: minimum distance classifier, Fisher classifier, the two classifier. Platform: |
Size: 4096 |
Author:狗蛋 |
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Description: this paper has used gabor filter for feature extraction and for feature reduction PCA+LDA has been used. for classification minimum distance classifier is used. PCA+LDA shows better performance than PCA or LDA alone Platform: |
Size: 307200 |
Author:nanhi |
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Description: 最小距离分类器的MATLAB源程序以及实例，这是书中的源码，希望能为我们的程序员家族做点贡献-The minimum distance classifier MATLAB source and example of this is the book s source code, hoping to influence the lives of our programmers family Platform: |
Size: 35840 |
Author:我心飞翔 |
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Description: 针对目前传统的枸杞分级主要采用人工方法， 费时费力且效率不高的缺点， 提出了一种基于机器视觉技术对枸杞
进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 ， 从而提取枸杞的色泽、 大小及形状等特征
参数； 用 K-means 算法对特征进行聚类， 得到枸杞相应等级的基准； 根据聚类分析得到的基准采用最小距离分类器对枸杞
进行分级。 实验结果表明 ， 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting primarily uses artificial method. It has time-consuming and inefficient shortcomings. An
automatic wolfberry classification method based on machine vision is proposed. This paper uses digital image processing technology for wolfberry image pre-processing, segmentation and extraction of characteristic parameters of color, size and shape it
uses the K-means clustering feature to get the baseline of wolfberry appropriate level it grades wolfberry by minimum distance
classifier based on the trained benchmark. The experimental results show that this method can classify different colors and sizes
of wolfberry more accurately and quickly. Platform: |
Size: 1451008 |
Author:李祥龙 |
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Description: 利用最小距离分类器分类３种不同类型的植物,并测试最小距离分类器的识别率-3 different types of plants are classified using the minimum distance classifier, and the recognition rate of the minimum distance classifier is tested. Platform: |
Size: 33792 |
Author:朱胜银 |
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Description: 最小距离分类器，可以用于做对比算法，人脸识别中经常用(The minimum distance classifier can be used for comparison algorithms) Platform: |
Size: 16384 |
Author:caoyao
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Description: 模式识别中的k近邻算法，经过测试，运行结果很好。
最小距离分类器 : 它将各类训练样本划分成若干子类，并在 每个子类中确定代表点 。测试样本的类别则以其与这些代表点距离最近作决策。该方法的缺点是所选择的代表点并不一定能很好地代表各类，其后果将使错误率增加。(The k nearest neighbor algorithm in pattern recognition has been tested and the result is very good.
Minimum distance classifier: it divides all kinds of training samples into several sub classes and identifies the representative points in each sub class. The categories of test samples are made recently by making decisions with these representatives. The disadvantage of this method is that the selected representative points do not necessarily represent the various types well, and the consequences will increase the error rate.) Platform: |
Size: 4096 |
Author:doudou854 |
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Search - minimum distance classifier