搜索资源列表
LBPSVM
- 实现了基于LBP和支持向量机的分类算法。首先提取出LBP特征，再利用支持向量机进行分类-Realized based on LBP and support vector machine (SVM) classification algorithm.First extract LBP feature, using support vector machine (SVM) classification
cannySVM
- 实现了基于canny算子和支持向量机的分类算法。首先提取出canny边缘特征，再利用支持向量机进行分类。-Realized based on canny operator and support vector machine (SVM) classification algorithm.First of all, extract the canny edge character, using support vector machine (SVM) classification.
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
libsvm_1
- 支持向量机的分类-基于乳腺组织电阻抗特性的乳腺癌诊断-Support Vector Machine- Based on the breast tissue impedance characteristics of breast cancer diagnosis
svmtest
- 简单地支持向量机的测试程序，希望对你们有用,它是测试两个线性分类的。-A simple test program to support vector machine, and I hope useful to you.
LSSVM
- 最小二乘支持向量机LSSVM分类器的代码，比较齐全-the MATLAB code for LSSVM
libsvm-3.17
- 支持向量机分类器的工具箱，可以载入自己的数据实现支持向量机分类。-Support vector machine classifier toolkit, you can load your own data to achieve support vector machine classifier.
SVMmatlab
- 支持向量机的matlab商业软件包，附有中文和英文使用手册说明，可以在对算法不了解的基础上，利用简单的命令完成支持向量机的分类和回归建模-Support vector machine (SVM) commercial software package in matlab, accompanied by Chinese and English manual, can be on the basis of the algorithm does not understand, using simple
svm
- 支持向量机算法，可很好的用于分类问题，广发用于人脸识别，步态识别中！-Support vector machine algorithm, can be a good issue for classification, GF for face recognition, gait recognition!
svm
- 支持向量机，用于数据的分类以及数据拟合，具有较好的效果-Support vector machine for classification of data and data fitting, with good results
SVM_example
- SVM支持向量机一个简单应用，将二维平面内的两类点（空心圆点和空心方点）进行线性分类，并对分类后的区域进行不同颜色的填充。-SVM support vector machine with a simple application, the two types of point (hollow dots and hollow square dots) within the two-dimensional linear classification, and area classification
svc-Classification
- 支持向量机分类源代码 可以做分类和回归预测用-SVM source code
mySVMtrain
- 这是一个用于线性分类的支持向量机SVM的MATLAB实现。此代码利用简单的MATLAB内置函数实验了SVM，不依赖LIBSVM等工具箱，并且提供了一个例子，以供初学者一开始对SVM有一个简单了解。-This is a matlab code of support vector machine.Here the SVM is achieved with some common matlab function. It is for SVM beginner.
libsvm-3.18
- 利用台湾大学教授所开发的支持向量机工具箱做预测和分类算法-prediction using svm
SVM-code
- 支持向量机源代码，用C语言编写的，适用于分类及回归分析-Support vector machine (SVM) source code, written in C language, suitable for classification and regression analysis
svm
- 基于支持向量机的模式识别程序，可以实现2分类-Based on SVM pattern recognition program, you can achieve 2 classification
svm
- 支持向量机，用于文本分类，这个工具包是分两类所用的-Support vector machine for text classification, this toolkit is divided into two categories used
data-classification-by-SVM-
- 使用支持向量机进行数据的分类预测，所需样本数据较少，且预测精度高，分类效果较好。-Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.
svmprogram
- 支持向量机的使用方法和分类回归问题在matlab环境下的实现-SVM classification and regression problems using methods and in the realization of the matlab environment
SVM-segmention
- 基于SVM支持向量机的图像前景和背景分割代码他，通过手动选择训练样本生成分类器，然后进行分割-SVM SVM based image segmentation code foreground and background, he generated classifier by manually selecting training samples, and then split