搜索资源列表
SVM-classifier
- 用matlab实现非线性支持向量机分类器对多类进行分类。-Using matlab to achieve non-linear support vector machine classifier for multi-class classification.
SVMclassifier
- SVM分类器，用于对多维采样点进行分类。可根据类别数修改分类器，我们的模式识别作业。-SVM classifier, multi-dimensional sampling points used for classification. Can be modified according to the number of classification categories, and our pattern recognition operation.
libsvm-mat-2.88-1
- matlab编写的SVM分类器源代码，效果不错，是很好的东西哦！-matlab prepared SVM classifier source code, well, things are good Oh!
svm
- 线性SVM算法设计分类器，对一组数据进行分类-Linear SVM classifier algorithm on a set of data classification
SVMClassifier
- a demo of implementing SVM Classifier
OSU-SVM
- SVM工具箱 分类与回归算法 OSU SVM Classifier Matlab Toolbox-support vector machine procedures, the classification results very good
filter--classifier
- matlab数字信号处理，输入图像矩阵和窗口大小，进行中值滤波,平均滤波，svm分类器-Digital signal processing, input image matrix, and window size，median filter,Average filter, svm classifier
svm
- This is the source code for a Single Vector Machine classifier, briefly called a SVM classifier. There are 60 peices assigned for training and 30 for testing the classifier.
svm
- svm分类器，有几类样本点，利用线性SVM分类器求出其分界面-svm classifier, there are several types of sample points, using a linear SVM classifier obtained the sub-interface
01
- 的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出 了一种色彩纹理特征的提取模型，采用该模型，利用IGabor滤波器提取数字图像的色彩纹理特征， 并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别，并 成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合，增强了数 字图像之间的特征区分能力。-Study color digital image classification and recognition m
PCA-and-SVM-Face-recognition
- 采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
Nonlinear-SVM-classifier-design
- 模式识别领域非线性SVM分类器设计原理，代码及过程-Pattern recognition domain nonlinear SVM classifier.experimental design principle, the code and process
a-nonlinear-SVM-classifier
- 这是非线性svm分类器的matlab代码，不仅有代码，而且有数据。-This is matlab code of a nonlinear SVM classifier , which not only has the code, but the data.
Determination-SVM-classifier-
- 交叉验证的实现，判定SVM分类器 支持向量机SVM(Support Vector Machine）是一种可训练的机器学习方法。-The realization of cross-validation to determine SVM classifier support vector machine SVM (Support Vector Machine) is a machine learning method trainable.
A-Novel-FPGA-based-SVM-Classifier
- 基于FPGA的SVM算法实现，文章主要从架构设计和硬件实现方面提供了设计思路，对于SVM的硬件开发特别是FPGA实现有指导意义-A Novel FPGA-based SVM Classifier
SVM-classifier
- 一个完整的SVM分类器的程序，matlab编写的。-A complete program SVM classifier.
Segmentation-of-Brain-Tumour-by-SVM-Classifier-Te
- ppt for braintumour classification using svm classifier
SVM
- 配置opencv库，SVM训练和分类，显示分类结果，和支持向量机。对于初学者了解SVM分类器由一定帮助(Configure the opencv library, SVM training and classification, display classification results, and support vector machines. For beginners understand the SVM classifier by some help)
SVM
- SVM分类器的matlab实现，针对提供的花的特征分类，并交叉验证(The matlab implementation of SVM classifier aims at providing the feature classification of flowers and cross validation)
SVM
- 利用MATLAB中所带的SVM函数，进行调用来得到SVM分类结果图(classified by SVM classifier)