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SVM-hssvm1.0.1
- HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。-HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classi
SVM
- 数字图像处理，实现了基于内容的自然图像分类和检索-Digital image processing, and content-based classification and retrieval of natural images
SVM-KMExample
- SVM向量机MATLAB编程实例，其中涵盖了one-against-one、one-against-all分类，回归等功能-Vector machine SVM MATLAB programming examples, which covers the one-against-one, one-against-all classification, regression and other functions
svm
- 本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。 -The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction,
svm
- SVM神经网络中的参数优化---如何更好的提升分类器的 性能-a important and popular classifier
classification-for-SVM
- 对数据进行SVM处理，最后以进行定量及分类处理，对得到的预测和训练的数值进行RME等的计算-The data processing, and end with SVM quantitative and classification to get treatment, the numerical prediction and training for calculation of RME etc.
C-FOR-SVM-
- 该程序可较好地用于故障诊断，可做故障的分类识别-This program can be better used for troubleshooting, do faults classification
SVM
- 用于各种分类的支持向量机matlab程序，可自定训练集和验证集数量-lib-SVM matlab program
four-Toolbox-for-SVM
- SVM分类器,关键是对信号进行分类，是模式识别的必备宝典-SVM classifier, the key is to classify the signal is essential for pattern recognition Collection
train
- 进行svm分类器的训练，作为人脸检测的人脸分类器-For svm classifier training as face detection face classifier
svm
- svm 可以实现多分类 希望对你能有帮助-svm classification can achieve more than you want to help
SAXDemo
- SVM文本分类实验平台 对文本分类的最好例子-SVM text classification experiment platform for the best example of text classification
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
MFCC-and-SVM
- 建立了普通话语音性别数据库,提出联合梅尔频率频谱系数(Mel2f requency Cep st rum Coefficient s , MFCC) 的特征提取方法和支持向量机(Support Vector Machine , SVM) 的分类方法进行说话人性别识别,并与其它分类方法进行比较。-A Chinese speech ( mandarin ) database was established for speaker s gender recognition. A combina
ensembles_pca_svm_new10v
- pca做特征降维，然后进行特征空间随机分割构造多个svm分类器，并行处理，对样本进行分类，基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature sp
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
IrisSVMmulticlassall
- 在matlab环境下实现的算法，该算法主要实现SVM分类的算法，通过SVM实现文字识别-In the matlab environment to achieve algorithm to achieve SVM classification of the main algorithm, character recognition by SVM to achieve
svm-detect-paper
- svm分类检测算法研究，用到opencv相关库，是论文来的，希望能够对所需者有用-svm detect paper
SVM
- 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-The kit includes two
SVM
- VC6.0编写，基于OpenCV的支持向量机分类程序，在400×400的平面上生3类随机样本点，然后给出利用SVM分类的决策面和支持向量-VC6.0 written OpenCV-based support vector machine classification procedures, the plane of 400 × 400 random samples of raw Category 3 points, and then give the decision-making surfac