搜索资源列表
svm
- svm工具箱是在用支持向量机进行模式分类时必备的工具箱！-svm toolbox is in use support vector machines for pattern classification essential toolbox!
zzz099SVM
- 为了对目标进行快速的检测，提出了一种新的基于支持向量机的级联式分类器的构造方法。该级联分类器由若干个线性SVM弱分类器构成，结构简单，分类时间极快。针对级联结构中的每个节点的训练给出了一个新的SVM框架下的二次规划模型，这使得每个节点都有较高的正样本检测率和适当的负样本错检率。-In order to quickly detect the target, a new cascade based on support vector machine classifier constructor. T
libsvm-3.1
- 给文件是林贵人博士所开发的c版本支持向量机的源文件，是目前应用最广泛的源程序之一，适用于图像处理，线性拟合，分类等问题。-it is a toolbox of matlab,and the function is used to classify and regression,and so on.
s
- 这是一些基于模糊支持向量机多分类算法的应用的一些论文。-These are based on fuzzy support vector machine multi-classification algorithm of the application of some of the papers.
pegasos
- Pegasos-原始估计分梯度求解支持向量机“ 是一种原始的优化支持向量机分类算法解决问题。 请参阅进一步的参考。-"Pegasos-Primal Estimated sub-Gradient SOlver for SVM" is a primal optimization problem solver in Support Vector Machine classification algorithm. See the paper for further reference
fsvmPpca-face-Recognition
- 首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is higher.
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
svm_matlab_gui
- 支持向量机matlab工具箱（含资料及gui模式）用于分类和回归预测-SVM matlab toolbox (including information and gui mode) for classification and regression
Supportvm.regression
- matlab编的一个支持向量机的数据分类和回归分析程序，很不错-matlab code of a support vector machine classification and regression data analysis program, very good
svm_classification
- svm 支持向量机分类程序，模式识别作业-svm for patter recognition assignment
SVD
- 支持向量机的程序，该程序能够实现支持向量机的分类和预测。-SVM program that enables support vector machine classification and prediction.
lsvm
- 支持向量机两类分类器的源码，可以实现；效果也还行。-support vector
MATLAB_SVM_Toolbox
- 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-Kit includes two kinds
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
Speakerrecognitionbased-on-MFCC
- 这是一篇工学硕士论文，主要说关于说话人语音识别，，以支持向量机为分类器，分别以MFCC和IM-FCC为特征单独执行分类，将得到结果按某种方式融合，取两者之长，最后做出判决来提高说话人识别系统的性能。-Speaker recognition is a kind of technology that take the use of the information contained in the speech signal to identify who is the speaker or to
xiangsidu
- 相似度算法的实现， 在利用支持向量机进行模式分类的时候，有时需要考虑到实时性，为了提高实时性，则利用相似度算法减少样本集个数，从而减少训练时间和支持向量的个数，使得建立起的向量机实时性提高。-Similarity algorithm, support vector machine in pattern classification, it is sometimes need to take into account the real-time, in order to improve real-
SVM_classandregress
- 支持向量机 内容中主要包括二种分类,二种回归,以及一种一类支持向量机算法。-Support Vector Machine Two types of categories, and two types of regression, as well as a kind of support vector machine algorithm is included in this content.
SVMduozhuanjiajuece
- 基于支持向量机的非线性分类方法可以再不同的情况下选取相应的最佳专家决策。-Non-linear support vector machine based classification can then select appropriate under different circumstances the best experts in decision-making.
test_gen123
- 关于傅立叶变换的SVM程序，适用于模式识别支持向量机分类-Fourier transform on the SVM procedure for pattern recognition Support Vector Machines