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SVM.rar
- OpenCV机器学习SVM支持向量机的分类程序举例,OpenCV Machine Learning SVM example.
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
MyFistProgamme2
- adaboost的matlab实现,可进行车辆识别的训练-AdaBoost' s matlab implementation, it can conduct vehicle identification training
svm
- 相关反馈是在用户和查询系统的交互中,用户对检索结 果进行评价并标记相关和不相关样本,然后将这些标记图像 作为训练样本反馈给系统,以实时修改系统的查询策略,逐步 接近直至满足用户的查询需求-Related feedback in the user and the interactive query system, users of the search node Evaluation of fruit and tag-related and non-relevant sample
KPCA_feature_extraction
- 别人的东西,有关KPCA特征提取的,看过了,很好很强大-Other people' s things, the KPCA feature extraction, and seen, very good very strong
MILL
- 模式识别中,多标签标记中的经典代码,主要用于场景分类,目标识别,结合svm和boost算法对自然场景进行分类,真的很不错,看看吧-Pattern Recognition, multi-tagged in the classic code, mainly used for scene classification, object recognition, combined with svm and boost the natural scene classification algorithm,
MFCC-and-SVM
- 建立了普通话语音性别数据库,提出联合梅尔频率频谱系数(Mel2f requency Cep st rum Coefficient s , MFCC) 的特征提取方法和支持向量机(Support Vector Machine , SVM) 的分类方法进行说话人性别识别,并与其它分类方法进行比较。-A Chinese speech ( mandarin ) database was established for speaker s gender recognition. A combina
SVM
- SVM开发包,接口明了,将它的路径添加到当前工程即可直接调用 接口举例如下 Ytest_try=[] 测试样本的特征 Ytest_try=rightsidetest(Xtest_try,index) ypred=[] 训练样本的标注 Ytest=normo(Ytest) kernel= gaussian kerneloption=1 ypred = svmval(Ytest_try,xsup_ch,w_ch,w0_
Seal-Identification
- 运用H15;I色彩窄间对印章图像颜色特征提取等一系列预处理,研究了多种识 别方法后发现基于纹理特征的印鉴识别方法不但速度快,而且识别率也较高,并且方法简便。通 过将极坐标和傅垦叶变换结合,计算m印签图像纹理的频谱度量,来完成印鉴的特征提取,运用支 持向量机分类器对印鉴进行识别,实验证明,方法具有良好的旋转不变纹理分析性能,提高了识别 率。-It WaS found a fast,simple and a higher seal image(HSI)identification
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.
svm
- SVM平台,操作简单、易于使用的通用SVM 软件包,可以解决分类问题(包括C- SVC、n - SVC )、回归问题(包括e - SVR、n - SVR )以及分布估计(one-class-SVM )等问题,提供了线性、多项式、径向基和S 形函数四种常用的核函数供选择。-SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including
svm_light
- 支持向量机(SVM)程序源码,做图形图像识别很有用,各位可以参考下。-The source code of SVM. It s very useful to recognize images. Just for a reference.
fall
- 跌倒检测的MATLAB程序 包括背景差分 去噪并判断跌倒 提取高宽比 重心下降速率 hu不变矩特征 svm分类-fall detection s MATLAB program including background dirrerence remove noise and ratio of height and wide hu invariable moments and svm classifier
vecvor__SVM
- 这是关于支持向量机SVM的例子,实用多多,大家可以看一下(It's all about support vector machine SVM example, practical, you can have a look)