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Description: 一个用VC++实现的支持向量机svm分类算法源代码,直接用VC++可以执行。-a VC with the support vector machine svm classification algorithm source code, the direct use of the VC can be implemented.
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Size: 1051210 |
Author: 陈正昌 |
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Description: svm算法的实现分类技术，vc++实现，很有用的。希望对大家有所帮助。-svm classification algorithm to achieve the technology, vc realized, very useful. We want to help.
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Size: 2208320 |
Author: 赵 |
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Description: 一个完整的SVM支持向量机分类器的vc++源程序
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Size: 34958 |
Author: 王展 |
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Description: 机器学习方法支持向量机SVM源程序，vc
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Size: 60834 |
Author: 王展 |
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Description: 支持向量机是一种专门用于样本分类的算法,本程序用VC++实现了SVM算法
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Size: 83761 |
Author: shighx |
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Description: vc环境下的支持向量机源码，包含了训练验证数据-vc environment source of support vector machines, including the training to verify data
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Size: 226304 |
Author: 王建 |
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Description: Vapnik-Cheervonenkis (VC) Dimension
Support Vector Machines
SVM Applications
Committee machines
PAC Learning
Boosting
“No Free Lunch” Theorem-Vapnik-Cheervonenkis (VC) Dimension Support Vector Machines SVM Applications Committee machines PAC Learning Boosting " No Free Lunch" Theorem
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Size: 1167360 |
Author: Shelly Chen |
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Description: 所上传文件包包括6种vc++源代码：使用opencv的实现可视图的静态路径规划；简单的svm算法；基于vc2008的图像匹配（多工程结构）；基于局部搜索的K-means聚类算法；三维匹配中的ICP算法；视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path planning svm simple algorithm vc2008-based image matching (multi-project structure) local search based on the K-means clustering algorithm three-dimensional matching of the ICP algorithm visual tracking of the condensation algorithm
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Size: 20701184 |
Author: zhezhe |
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Description: 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
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Size: 528384 |
Author: susan |
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Description: SVM的VC程序，有matlab接口，便于调用，还有例子，用于模式识别，分类，预测。-SVM, VC procedures, matlab interface, easy call, as well as an example, for pattern recognition, classification and prediction
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Size: 126976 |
Author: 李静叶 |
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Description: 基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel processing power of Graphics Processors (GPUs). cuSVM is written in NVIDIA s CUDA C-language GPU programming environment, includes implementations of both classification and regression, and performs SVM training (prediction) at 13-73 (22-172) times the rate of state of the art CPU software. Moreover, cuSVM features a Matlab MEX wrapper so that users can access the GPU s power without having to do any "real" programming.
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Size: 879616 |
Author: Sheng |
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Description: svm算法源代码VC++实现，很好的一个程序-svm algorithm source code VC++ implementation, a good a program. . .
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Size: 1048576 |
Author: jiwei |
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Description: 本书介绍的支持向量机方法，是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力 。-This book introduces the support vector machine method is based on statistical learning theory, VC dimension and structural risk minimization theory based on the principle, according to the limited sample of information in the complexity of the model (ie, training samples of a specific learning accuracy) and learning capacity (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability.
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Size: 798720 |
Author: 周星星 |
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Description: 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，从理论上和计算上为VC边界的使用铺平了道路。在此基础之上，本文提出了两种基于VC边界的参数选择算法—固定C算法和VC-CV算法。在数个基准数据集上的实验表明，相比交叉验证算法，VC-CV算法不仅能获得性能更好的分类器，而且具有较低的计算复杂度。 ·使用序贯最小优化算法解决了最小包围体求解问题。最小包围体求解是计算VC指标的一个关键步骤，本文使用序贯最小优化算法对其求解，并对算法初始化、参数选择及更新等若干实现问题进行了深入地研究。在多个基准数据集上的实验表明，序贯最小优化算法能够快速而准确地解决最小包围体求解问题。-
Support vector machine and its application to face recognition
Shanghai Jiaotong University doctoral thesis, in HowNet above pay to get the download. From the application point of view, to more fully explore some related issues, and using Visual C-idTeller a support vector machine-based face recognition software. The main work and innovation of the paper include: two kinds of parameters of support vector machine based on the VC boundary selection algorithm- fixed-C algorithm and the VC-CV algorithm. VC boundaries are two types of support vector machine parameters to select the ideal criteria, but some of its inherent shortcomings make it difficult. This article by VC boundary for the VC index, and ultimately the problem is reduced to the solution of the minimum bounding volume, and paved the way for the use of the VC boundary from the theory and calculations. On this basis, we propose two parameter selection algorithm based on the VC boundary- fixed-C algorithm and the VC-CV algorit
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Size: 10384384 |
Author: Jessicaying |
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Description: 使用vc编写的svm分类程序，可以再matlab环境下调用进行分类识别-vc svm matlab
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Size: 99328 |
Author: 知惜 |
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Description: 支持向量机方法是建立在统计学习理论的VC维理论和结构风险最小原理基础上的，很不错的程序-Support vector machine (SVM) method is based on statistical learning theory of VC dimension theory and structure risk minimum principle, on the basis of good programs
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Size: 3577856 |
Author: 张飞 |
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Description: svm 算法源码 分类实例,vc版本的，可以直接运行dsw工程-svm classify source code
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Size: 1358848 |
Author: lihuanan |
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Description: 所谓VC维是对函数类的一种度量，可以简单的理解为问题的复杂程度，VC维越高，一个问题就越复杂。正是因为SVM关注的是VC维，后面我们可以看到，SVM解决问题的时候-The so-called VC dimension is a measure of the function classes, it can be simply understood the complexity of the problem, VC dimension, the more complex a problem. It is because of SVM VC dimension is concerned, we can see the back, when the SVM to solve the problem
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Size: 2048 |
Author: 刘峥峥 |
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Description: Matlab上使用SVM所需插件
2. 操作流程：
请注意：详细操作流程请参考上面的“详解”网站，这里只说大框架和详解里没有提到的问题。
A.设置path
File->set path ->add with subfolders->加入libsvm-3.11文件夹的路径
B. 在matlab中编译
目的：将libsvm-3.11\matlab 中 libsvmwrite.c 等 C++文件编译成 libsvmread.mexw32 等matlab文件，这样就可以在command window中被直接调用了。
注意：在最外面的Readme中有提到已经有编译好的文件，比如在libsvm-3.11\windows中也会看到libsvmread.mexw32,但这里不要被误导！还是需要你自己再编译一遍的！（还有如果matlab版本太低，如matlab 7.0是不能用VS作为编译器的，只能用VC++ 6.0，这是我劝你给matlab升级吧！别装vc了~我就是这样，升级到Matlab 2011b就可以用VS2008做编译器了）
C.加载数据集
就是这里搞了我一下午！(Support for SVM on Matlab)
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Size: 87040 |
Author: cc8244467
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Description: 支持向量机模式识别教程
教程首先介绍了VC维和结构风险最小化的概念。然后，我们描述线性可支持向量机（SVM）的可分离和不可分离的数据，通过一个不平凡的例子详细。我们描述了一个机械类比，并讨论当SVM解决方案是唯一的，当它们是全球性的。我们描述了如何实现支持向量机训练，并详细讨论了用于构造数据非线性的SVM解决方案的核心映射技术。(A Tutorial on Support Vector Machines for Pattern Recognition)
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Size: 615424 |
Author: 飞飞花儿
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