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Description: 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, etc.).
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Size: 247586 |
Author: 王晓 |
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Description: 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 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.
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Size: 112344 |
Author: 刘霞 |
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Description: 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-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, \"Fast training of support vector machines using sequential minimal optimization\", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, \"Estimating the Generalization Performance of a SVM Efficiently\", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.
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Size: 172130 |
Author: 金星 |
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Description: 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-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.
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Size: 172032 |
Author: 金星 |
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Description: BP学习算法应用——函数表达
源代码实现了BPN的设计，使得通过训练后的BPN实现了函数表达，即BPN的输出与输入反映了特定的函数映射关系。代码中的具体应用实例为傅立叶核函数，应用BP学习算法拟合出傅立叶核函数，速度快，精度高。
将源文件F_core_discription.m文件放入matlab的work文件夹中直接运行即可。-BP learning algorithm application- expression of the source code function BPN realize a design, through the training of BPN realize the function of expression, that is, the output and input BPN reflect a specific function mapping relations. Specific application code examples for Fourier kernel function, the application of BP learning algorithm for fitting a Fourier kernel function, high speed and accuracy. The source document file F_core_discription.m Add matlab folder of work can be directly run.
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Size: 2048 |
Author: Michael_M |
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Description: 这是我培训时老师讲解的linux 内核流程图,适合搞内核系统的人员看.-This is my teacher training when the linux kernel on the flow chart for the personnel engaged in core system look.
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Size: 908288 |
Author: 梁 |
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Description: 华清远见培训视频，嵌入式Linux内核移植及驱动开发-Huaqing vision training video, embedded Linux kernel and driver development Transplant
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Size: 4432896 |
Author: 廖茂刚 |
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Description: 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.
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Size: 3163136 |
Author: 戴步成 |
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Description: 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
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Size: 7425024 |
Author: shine |
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Description: 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 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.
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Size: 2614272 |
Author: eetuna |
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Description: 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.
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Size: 2614272 |
Author: eetuna |
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Description: 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.
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Size: 973824 |
Author: 小康 |
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Description: 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.
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Size: 778240 |
Author: 谌叶龙 |
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Description: 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.
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Size: 2637824 |
Author: 吴建凰 |
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Description: 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
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Size: 218112 |
Author: rena |
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Description: 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
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Size: 30720 |
Author: rena |
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Description: 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
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Size: 463872 |
Author: rena |
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Description: 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的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。-Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram
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Size: 3585024 |
Author: lipiji |
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Description: 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
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Size: 1061888 |
Author: jishan |
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Description: Linux Kernel and Driver Development Training
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Size: 5607424 |
Author: Libartu |
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