Description: 从wave中读取数据，通过mfcc提取特征系数。从txt文件中读取基于GMM的分类器，最终识别为那种类型-Read data from the wave through the MFCC feature extraction coefficient. Txt file to read from the GMM-based classifier, and ultimately identified as the type Platform: |
Size: 4096 |
Author:gujunjun |
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Description: this zip file contains a code developped in java demonstrates the use of svm classifier with java Platform: |
Size: 25600 |
Author:med |
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Description: 绝对自己编写的可用的CVM程序。类似SVM，可以以文件夹为目标提取整个文件夹内图像特征（对应特征为颜色直方图），然后用分类器分类-Absolutely have written procedures available CVM. Similar SVM, can extract image features the entire file folder to folder as the target (corresponding feature is the color histogram), and then classified using the classifier Platform: |
Size: 2323456 |
Author:maofei47 |
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Description: 一个自己封装的SVM类，可以实现对正负样品图片的剪切，分类器的训练，利用原来的文件测试分类器，利用一段视频测试分类器，同时也可以完成分类器的引用，同时SVM的训练参数可调。-Reference to a category of their own package of SVM, can achieve the image on the positive and negative samples of shear, training a classifier, using the original file test the classifier, using a video test classifier. At the same time, it can complete the classifier and SVM training parameters adjustable. Platform: |
Size: 24354816 |
Author:黄志举 |
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Description: 这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。-This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets. Platform: |
Size: 2542592 |
Author:robert |
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Description: This file it how to training data with lbp histogram, for classifier with svm. So the data will be save in yml file and then will be load again for classifier Platform: |
Size: 10240 |
Author:jene |
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Description: classifier.mat文件太大未上传。可运行一次main3生成
getFeatures.m 获取灰度共生矩阵相关特征
main-main6 训练 + 识别
predict.m 单独的分类程序
temp.m 单独的分类演示程序(classifier.mat file is too large to upload. Can run a main3 to generate
getFeatures.m Get the grayscale co-occurrence matrix related features
main-main6 Training + Recognition
predict.m separate classifier
temp.m separate classification demo) Platform: |
Size: 2670592 |
Author:adewalike |
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Description: 将HSV量化数据保存至DATA文件用于SVM分类器(Save the HSV quantized data to the DATA file for the SVM classifier) Platform: |
Size: 29814784 |
Author:Kry5 |
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Search - classifier .svm file