搜索资源列表
svm_toolbox
- 支持向量机工具箱，其中包含MATLAB演示程序和一些基本的函数（计算核函数的函数、支持向量机训练函数和参数选择交叉验证函数等）。-SVM Toolbox, which contains MATLAB demo programs and some of the basic functions (Calculation Kernel function, SVM training function and parameter selection cross-validation functions,
SvmFu-3.1
- This is SvmFu, a package for training and testing support vector machines (SVMs). It s written in C++. It uses templates. The advantage of templates is that the types of kernel values and data points can be varied to suit the problem.-This is S
svm_v0.55beta
- 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, \"The Nature of Statistical Learning Theory\", Springer-Verl
SVM_SteveGunn.向量机的基本理论
- 支持向量机的基本理论是从二类分类问题提出的，常用的核函数有：多项式、径向基、Sigmoid型。对于同一组数据选择不同的核函数，基本上都可以得到相近的训练效果。,Support vector machine' s basic theory is the question of second-class classification, commonly used kernel functions include: polynomial, radial basis, Sigmoid type. For
svm_perf.tar.gz
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
PG_BOW_DEMO
- 图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。 其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？ 用BoW描述完图像之后，指的是将训练集以及测试集
csedit_03_08_22
- windows 内核培训资料，内核编程很好的参考资料-windows core training materials, a good reference for kernel programming
kpca
- 使用核PcA来识别图片，图片为200张测试图片，200张训练图片，包含在在压缩文件中。-To identify the use of nuclear PcA picture, pictures, for 200 test images, 200 training images, is included in the compressed file.
ST_Cortex
- ST_Cortex中文培訓資料,新的基于ARM内核的32位MCU系列,内核为ARM公司为要求高性能,低成本,低功耗的嵌入式应用,专门设计的CortexM3内核标准的ARM架构-Chinese ST_Cortex training materials, the new ARM core-based 32-bit MCU series, the kernel for ARM companies that require high performance, low cost, low-power em
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
kwiener
- The following code implements a kernel Wiener Filter algorithm in MATLAB. The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far. -The following code implement
winerfilter
- The following code implements a kernel wiener filter algorithm in MATLAB.The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far.
kernel
- 成都中嵌培训的linux驱动教程，内核开发详解，嵌入式入门的经典。-Chengdu embedded linux driver training, tutorial, the kernel developers Xiang Jie, embedded entry classic.
Gauss-SVM
- 基于Gauss 核函数SVM分类机，使用二阶几何方法训练。-Gauss kernel function SVM classification based on machine, using the geometric method of second-order training.
training
- linux培训相关资料，主要有linux配置、内核分析等。-linux training information, there are linux configuration, the kernel analysis.
CH3-Compiling-Linux-Kernel
- 非常重要的linux学习资料，共7章，来自华清远见的培训资料-Linux learning materials is very important, a total of 7, from China to see training materials Qingyuan
CH4-Porting-Linux-Kernel
- 非常重要的linux学习资料，共7章，来自华清远见的培训资料-Linux learning materials is very important, a total of 7, from China to see training materials Qingyuan
CH5-Debugging-Linux-Kernel
- 非常重要的linux学习资料，共7章，来自华清远见的培训资料-Linux learning materials is very important, a total of 7, from China to see training materials Qingyuan
android-kernel
- android kernel 开发培训 Linux开发环境篇 Linux驱动开发篇 Linux内核篇-android kernel development training Linux development environment chapter Linux driver development articles Linux kernel articles
Linux-kernel-and-driver-development
- Linux Kernel and Driver Development Training