搜索资源列表
模式识别matlab工具箱,包括svm,ICA,PCA,NN等等模式识别算法
- 模式识别matlab工具箱,包括svm,ICA,PCA,NN等等模式识别算法
svm
- svm算法的c++实现 svm-svm algorithm c++ implementation svm
svm
- 支撑向量机的函数,可以用于识别、分类和分割,是很好的分类算法-Support Vector Machines function, can be used for identification, classification and segmentation, is a good classification algorithm
ddsvm
- SVM算法dd,来自国外做数据挖掘和文本分类的-SVM algorithm dd, from abroad to do data mining and text classification
20090501SleepingKoala
- 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
svm
- 选用支持向量机作为区分文本与非文本的分类器,支持向量机是在统计学习理论基础上发展起来的新一代学习算法,它在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势。-Use support vector machine as the distinction between text and non-text classifier, support vector machine is in statistical learning theory developed on the basis of
SVM
- 本程序是用来实现SVM算法,可以用在 模式识别处理中。-This procedure is used to implement SVM algorithm can be used in pattern recognition processing.
svm-ses
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-The machine algorithm respectively perception, the minimum square error algorithm, linear SVM classifier algorithm design, respectively, draw the decision surface, and compare the performance.
svm-examples-code-
- 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
image-segmentation-using-svm
- 在matlab中应用svm算法对图像进行处里,分离出主体和背景-Svm algorithm in matlab applications where the image of the isolated subject and background
svm源代码
- 有svm的三种算法,可以完成许多信息的自动识别功能,下载就可以用,方便简单的源代码。
svm
- svm算法,针对高光谱图像分类(高维),里边有核函数,检查函数,训练函数-Space Resection
svm
- 用Python写的关于SVM算法的人脸识别小程序(Written in Python on the SVM algorithm for face recognition applet)
Ch12_pres(SVM)
- 支持向量机网络算法原理介绍,对分类器原理大概的了解。(Principle of support vector machine algorithm)
svm
- 使用hog特征进行分类,采用opencv里的svm算法(By using the hog feature,we classfy the face images with svm algorithm.)
SVMminstRecognition
- 在OpenCV环境下使用SVM算法实现minst手写0-9识别(Using SVM algorithm to realize MINST handwritten 0-9 recognition in OpenCV environment)
Simple-Handwritten-Numerel-Recogntion-master
- 使用SVM算法进行数字图像识别,使用的是手写数字的训练(The use of SVM algorithm for digital image recognition is the training of handwritten numerals)
SVM
- 包含完整的SVM算法,下载即可使用。其中包括数据集和完整的算法结构,算法结构包括数据清理、核函数升维以及SMO优化算法,可以较好实现数据非线性分类。(Contains the complete SVM algorithm and download it for use. Including the data set and the complete algorithm structure, the algorithm structure includes data cleaning, kerne
Canupo
- C++编码,基于线性判别分析(LDA)和支持向量机(SVM)的多尺度维度特征点云分类算法,通过机器学习方法精确分类。效果可达95%以上,本文件夹内含有详细中文教程。
SVM算法
- SVM算法的线性分类,图像分类单幅遥感图像特征提取分类(Linear classification of SVM algorithm, image classification, feature extraction and classification of single remote sensing image)