这其实是数学上做数值分析的结果,就是上面推出的SVM原始问题总有一种对偶形式(在很多介绍SVM问题的书中都不会讲到这个,直接上对偶问题,也不加解释,其实不是很显然)。见文章A Training Algorithm for Optimal Margin Classiers,文中直接将问题转换成对偶形式,并引用了相关的论文。 动机:问什么要转成对偶问题? 在计...
class SvmTrain : public ITrain { public: typedef struct { 6 changes: 5 additions & 1 deletion 6 src/core/chars_identify.cpp Original file line numberDiff line numberDiff line change @@ -24,7 +24,11 @@ std::pair<std::string, std::string> CharsIdentify::identify(cv::Mat input) {...
Indefinite kernel support vector machine (IKSVM) has recently attracted increasing attentions in machine learning. Since IKSVM essentially is a non-convex problem, existing algorithms either change the spectrum of indefinite kernel directly but risking losing some valuable information or solve the dual ...
How to solve the following problem?(about SVM ). Learn more about svm Statistics and Machine Learning Toolbox
sadranshcommentedAug 28, 2016 OpenCV Error: Parsing error (SVM model data is invalid, check sv_count, var_* and class_count tags) in cv::ml::SVMImpl::write, file C:\opencv31\sources\modules\ml\src\svm.cpp, line 2038 I was trying to use this c_svctraining.cpp but on the line ...
这个式子是以前做SVM的人写的,大家也就这么用,但没有任何规定说必须对所有的松弛变量都使用同一个惩罚因子,我们完全可以给每一个离群点都使用不同的C,这时就意味着你对每个样本的重视程度都不一样,有些样本丢了也就丢了,错了也就错了,这些就给一个比较小的C;而有些样本很重要,决不能分类错误(比如中央...
svm function through the nuclear non-linear separable problem into linearly separable problems, and ultimately obtain the global optimal solution and the only 翻译结果2复制译文编辑译文朗读译文返回顶部 null 翻译结果3复制译文编辑译文朗读译文返回顶部 ...
Problem in svmtrain : Help. Learn more about svmtrain, cell arrays Image Processing Toolbox, Computer Vision Toolbox, Statistics and Machine Learning Toolbox
The inverse problem of Support Vector Machine(SVM)is how to split the dataset into two clusters so that the margin between the two clusters reaches maximum.But the surprising time complexity makes it difficult to be applied to a dataset with certain scale.The result and efficiency of method,in...
In this paper we show some preliminary results of our research in the field work of classification of imbalanced datasets with SVM and stratified sampling. Our main goal is to deal with the clinical problem of automatic intestinal contractions detection in endoscopic video images. The prevalence of...