搜索资源列表
SVM(matlab)
- 支持向量机(SVM)实现的分类算法源码[matlab] -Support Vector Machine (SVM), a classification algorithm source code [Matlab]
svm-image
- 有关图像识别方法的实现，采用SVM方法完成图像的识别。-the Image Recognition Methods of using SVM method to complete the image recognition.
svm
- 用支持向量机实现人脸的识别，虽然效果不是很好，不过也可和大家一起分享一下
FaceRec
- 基于matlab2008的人脸识别系统，使用了PCA +Adaboost与PCA+SVM分别实现了人脸识别，使用了orl人脸库，给一个人的图片就可以识别此人身份，识别率高达84 -Matlab2008 face recognition system based on use of the PCA + Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database
libsvm-2.9
- SVM是一种比较新比较流行的算法，常常用在分类问题和回归问题上。 SVM方法的VC实现，libsvm源码-SVM is a relatively new algorithm is more popular, often used in classification and regression issues. SVM method VC implementation, libsvm source
IrisSVMmulticlassall
- 在matlab环境下实现的算法，该算法主要实现SVM分类的算法，通过SVM实现文字识别-In the matlab environment to achieve algorithm to achieve SVM classification of the main algorithm, character recognition by SVM to achieve
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- 本程序实现了用svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with face recognition of the SVM realize expression, very accurate results, has the very high recognition result
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- 本程序实现了用pca,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with pca, SVM realize the recognition face expression, very accurate results, has the very high recognition result
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- 本程序实现了用pca以及kpca,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with pca and kpca, SVM realize the recognition face expression, very accurate results, has the very high recognition result
8
- 本程序实现了用pca以及贝叶斯,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with pca and the bayesian, SVM realize the recognition face expression, very accurate results, has the very high recognition result
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- 本程序实现了用贝叶斯,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with bayesian, SVM realize the recognition face expression, very accurate results, has the very high recognition result
SVM-and--Face-Recognition
- 支持向量机及其在人脸识别中的应用研究 上海交通大学博士论文，在知网上面付费下载得到的。本文从应用的角度出发，较为全面地对一些相关问题进行探讨，并使用Visual C++实现了一个基于支持向量机的人脸识别软件—idTeller。 论文的主要工作和创新点包括： ·提出了两种基于VC边界的支持向量机参数选择算法—固定C算法和VC-CV算法。VC边界是两类支持向量机参数选择的一个理想准则，但它的一些固有缺点使其应用变得困难。本文通过将VC边界转化为VC指标，最终把问题归结为对最小包围体的求解，从理论
ocr
- 用支持向量机SVM实现对手写数字的特征提取与识别，其中数字是一笔写成。-Using support vector machine (SVM) to realize SVM opponent write digital feature extraction and recognition, including digital is a written.
SVM
- SVM的C语言实现代码，可以直接移植到自己的工程中。-SVM' s C language code can be directly transplanted into their own works.
svmclassiferanddata
- SVM实现的matlab语言代码的应用版本，可以直接使用。-The SVM implementation matlab version of the application of the language code can be used directly.
c-svm
- 用c语言实现支持向量机的算法，内容很好的，真的-C language support vector machine algorithm, good content, really
svm-toolbox
- matlab 支持向量机工具箱可以实现输入数据并对数据按指定的寻优方式和核函数计算出数据分类决策函数。-matlab SVM toolbox for data classification
SVM
- 这是一个SVM分类器，可以实现对人脸的识别，里面有数据库。用的时候要先添加路径。-This is a SVM classifier, can be achieved on the face recognition, which has a . Use the time to add the path.
SVM
- 用简单的代码实现了SVM,其中包括了线性、非线性以及多种kernel。(SVM is implemented with simple code, including linear, nonlinear, and a variety of kernel.)
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)