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Description: SVMtoy 一个SVM图形化演示工具,可以直观地观察SVM的运行情况。-SVMtoy a graphical presentation tools, visual observation of the operation of the SVM.
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Size: 3757 |
Author: sunqi |
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Description: 基于SVM的文档分类,运行平台:Visual C++ 6.0和基于libsvm的编程环境下,应用Reuters-21578语料库对系统进行评测。-SVM-based document classification, operating platforms : 6.0 and Visual C libsvm-based programming environment, Application Reuters-21578 Corpus evaluation of the system.
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Size: 471986 |
Author: 杨扬 |
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Description: 用vc调试好的svmlight。方便实用。-It has been debuged under the Visual C environment. It s very convenient and applied.
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Size: 516096 |
Author: 质量 |
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Description: 机器学习文本分类的SVM算法实现,VC++ 6.0环境下编译-A SVM algorithm for text classification in machine learning, and compiled under the Visual C++ 6.0 environment.
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Size: 1600512 |
Author: 邵云 |
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Description: SVMtoy 一个SVM图形化演示工具,可以直观地观察SVM的运行情况。-SVMtoy a graphical presentation tools, visual observation of the operation of the SVM.
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Size: 3072 |
Author: sunqi |
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Description: 基于SVM的文档分类,运行平台:Visual C++ 6.0和基于libsvm的编程环境下,应用Reuters-21578语料库对系统进行评测。-SVM-based document classification, operating platforms : 6.0 and Visual C libsvm-based programming environment, Application Reuters-21578 Corpus evaluation of the system.
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Size: 472064 |
Author: 杨扬 |
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Description: OpenSVM was developped under Visual C++ 6.0 SP6,
You can open the workspace file(*.dsw) in the opensvm-src folder.
The folder include the svm.h and svm.cpp which in the libsvm (Copyright (c) 2000-2007 Chih-Chung Chang and Chih-Jen Lin All rights reserved) in the opensvm-src\libsvm.
However, the files svm.h and svm.cpp codes were copied/merged into stdafx.h and stdafx.cpp in order to support the development, and OpenSVM still use other codes of libsvm.
So you can see the libsvm package in the source package.
You can open and build it with Visual C++ 6.0.
Note: the problems must be in LIBSVM format.
OpenSVM project page:
http://sourceforge.net/projects/opensvm
If you had any question, please mail to:
cloudbyron@gmail.com
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Size: 620544 |
Author: njustyw |
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Description: svm,支持向量基,内含代码注释,pdf详解,支持不同的数据储存方式不同-svm, support vector-based, implicit code notes, pdf explain and support the different data stored in different ways
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Size: 234496 |
Author: 冀振兴 |
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Description: svm代码,包括缩放,训练以及测试。已经用过,方便实用!-SVM code, including scaling, training and testing. Has been used, convenient and practical!
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Size: 4096 |
Author: clear |
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Description: svm开发必读电子书,模式识别基础教学,很不错-svm
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Size: 131072 |
Author: shehaiyuan |
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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: 23825781svmSVM matlab GUI可视化界面 直观形象 代码解释比较详细 对GUI学习和svm学习都有帮助-23825781svmSVM matlab GUI interface intuitive visual image of the code to explain in more detail on the GUI has to help learning and svm learning
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Size: 200704 |
Author: myzone |
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Description: SVM matlab GUI可视化界面 直观形象 代码解释比较详细 对GUI学习和svm学习都有帮助-SVM matlab GUI intuitive visual interface code in the image of a more detailed explanation of the GUI help both learning and svm learning
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Size: 497664 |
Author: myzone |
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Description: 《数字图像处理与机器视觉:Visual C++与Matlab实现》6
支持向量机,综合案例——基于PCA和SVM的人脸识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 6 support vector machines, comprehensive case- based on PCA and SVM for Face Recognition System
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Size: 14796800 |
Author: 陈新秋 |
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Description: opencv中的支持向量机源程序,将日文翻译过来,中文注释,通俗易懂,比较adaboost-opencv source of support vector machines, translated to Japanese, Chinese, comments, user-friendly, more adaboost
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Size: 17408 |
Author: 天天 |
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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: 支持向量机,类别为软边界,用C语言编写而成-Support vector machines, the category is soft borders, written by visual C
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Size: 7168 |
Author: 但灵芝 |
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Description: The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique.
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Size: 10115072 |
Author: vasanth |
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Description: SVM的C语言实现,可在Visual C++上实现(C program for SVM which can run on Microsoft Visual C++)
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Size: 16384 |
Author: Nns
|
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Description: 该算法用Visual Studio编写 ,用于实现对样本的训练以及测试,并可以转换成matlab语言,直接调用子程序(The algorithm is written in Visual Studio, which is used to train and test the sample, and can be converted into a matlab language and directly invoked the subroutine.)
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Size: 23552 |
Author: 飘逸的猪 |
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