搜索资源列表
SVM-KM
- K-近邻支持向量机回归，工具箱，全程Matlab-K-Support Vector machine Matlab， This function process the SVM regression model using a linear epsilon insensitive cost
svm-1
- matlab中的svm工具包，是标准化的svm算法，只能用于线性问题，非线性的需用libsvm或lssvm来解决。-svm in matlab Kit, standardized svm algorithm can only be used for linear problems, nonlinear the required libsvm or lssvm of resolve.
SVM-SMO-done-linear
- 自编svm分类，可区分片面内不同类型点，并分组-SVM
SVM
- SVM方法是通过一个非线性映射p，把样本空间映射到一个高维乃至无穷维的特征空间中(Hilbert空间)，使得在原来的样本空间中非线性可分的问题转化为在特征空间中的线性可分的问题．这是一本介绍SVM方法的应为资料-SVM method is a non-linear mapping p, the sample space is mapped into a high-dimensional and even infinite dimensional feature space (Hilbert sp
support-svm
- 支持向量机的源码，在opencv2.3.1里亲测，线性的-Source of support vector machine in opencv2.3.1 pro-test, linear
linear-equlizer
- nonlilinear equlaizer with svm-nonlilinear equlaizer with svm
libsvm-weights
- 此文件为SVM的线性工具包，为matlab编程的重要工具包，里面包含visual c++文件，在调用时需先安装visual c++相关软件。- This tool provides a simple interface to LIBSVM, a library for support vector machines.the Liblinear paackage for linear SVM.
svm
- SVM的理论基础 线性判别函数和判别面 最优分类面 支持向量机 LIBSVM简介-The theoretical basis of the SVM linear discriminant function and discriminant surface optimal hyperplane Support Vector Machines LIBSVM Profile
HOG
- 基于梯度方向直方图( H OG) 特征的行人检测是目前检测精度较高的主流方法。针对基于梯度直方图特征的 行人检测存在检测精度还有待提高、向量维数大的问题, 提出使用梯度直方图统计特征加颜色频率和肤色特征描述行 人, 选取一些分类能力较强的block 作为最后的特征, 使用线性SVM 分类。在INRIA 库上的实验证明, 该方法能有效地 提高检测精度。-H istog r am o f or iented g radient( H OG) based on pedestr ian de
matlab-SVM
- 本资料包括实验要求文档，报告文档，训练及测试数据，matlab源代码。就给定问题，利用SVM来进行分类。SVM包括hardmargin的线性和非线性内核，softmargin的线性和非线性内核分别来分类以及评估分类准确度-a MATLAB (M-file) program to compute the discriminant functiong for the following SVMs, using the training set provided：A hard-margin SVM
liblinear-1.93
- 线性SVM分类代码，线性分类快速准确，如果数据量大则需要内存较大-Linear SVM classification code, fast and accurate linear classification, the large amount of data you need to memory
SVM
- 模式识别，线性分类器。经调试可用，希望可以帮到需要的人。-Pattern recognition, linear classifier. After debugging is available, the desire to help people in need.
SVM
- 一个简单易学的SVM程序，包括线性和非线性SVM，并包含二维和三维图像的转化。-An easy to learn SVM procedures, including linear and nonlinear SVM, and includes the conversion of two-dimensional and three-dimensional images.
svm
- SVM平台，操作简单、易于使用的通用SVM 软件包，可以解决分类问题（包括C- SVC、n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ）等问题，提供了线性、多项式、径向基和S 形函数四种常用的核函数供选择。-SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including
A-linear-discriminant
- Face recognition in a fuzzy method. Contains SVM, LDA, decision tree and so on, the effect is very good, worthy of reference.
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
sum1_change
- 线性支持向量机示例和数据都有linear svm-linear svm
SVM-regression-theory-and-control-
- 支持向量机回归理论与神经网络等非线性回归理论相比具有许多独特的优点有线性回归和非线性回归,其模型的选 择包括核的选择、容量控制以及损失函数的选择.在控制方面的研究包括非线性 时间序列 的预测及应用、系统辨识以及优化控制和学习控制等方面的研究-Support vector machine (SVM) regression theory and neural network has many unique advantages such as nonlinear regression theory
SVM
- 二维坐标上描点，就会发现这是个很简单的线性可分问题-Two-dimensional coordinates tracing point, you will find this is a very simple linear separable problem
svm
- 对两类训练样本集进行线性分类，并标记出支持向量和最优分类面-Linear classification of two kinds of training sample set, and mark out the support vectors and the optimal classification line