搜索资源列表
svmetiq
- this programm is how to etiquete of class image for classification whith svm
svmCLASSIFIR
- this file is how to calssifier a class of image with svm
Hypersphere-support-vector-machine
- 超球体支持向量机是单类支持向量机的一种，超球体OC-SVM算法的思想为寻找一个超球体，使其半径尽可能小的同时，包含的训练样本数尽可能多。-Hypersphere support vector machine is a single-class support vector machine, thought hypersphere OC-SVM algorithm to find a hypersphere, so radius as small as possible while the num
libsvm-3.12
- LIBSVM是台湾大学林智仁副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题，包括基于一对一算法的多类模式识别问题。-The LIB
Text-classify
- 用朴素贝叶斯和支持向量机SVM的两种文本文类实验-Two text of this article class experiment with naive Bayes and support vector machines SVM
libSVMmatlab
- libSVM是一种分类效果较好的SVM算法，能够实现多类数据的高正确率分类。-libSVM is a better classification results of SVM algorithm, to achieve multi-class classification data high accuracy.
LibSVMjava
- libSVM是一种分类效果较好的SVM算法，能够实现多类数据的高正确率分类。-libSVM is a better classification results of SVM algorithm, to achieve multi-class classification data high accuracy.
libSVM
- libSVM是一种分类效果较好的SVM算法，能够实现多类数据的高正确率分类。-libSVM is a better classification results of SVM algorithm, to achieve multi-class classification data high accuracy.
A-New-Boosting-Multi-class-SVM-Algorithm
- This article discuss a new algorithm for boosting Multi_class support vector machine and demonstrate the experimental result based on developing this algorithm.
logisitic_exercise
- 一种用于数据分类的算法，与svm的作用类似-In statistics, logistic regression or logit regression is a type of probabilistic classification model[1] used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor v
svmdecide
- after training the SVM, you test the system with SVM decide if a data is from class one or class two-after training the SVM, you test the system with SVM decide if a data is from class one or class two
zhichixiangliangji
- 支持向量机推广能力估计方法比较，针对支持向量机的泛化应用能力所写的几类方法比较论文-SVM generalization ability estimation method compares the ability for applications to support vector machine generalization written several papers class method comparison
PeopleDensitydll
- 视频图像的人群密度检测，多种人群密度场景下人群计数算法： 算法功能:建立图像特征和图像人数的数学关系 算法输入:训练样本图像1,2…K 算法输出:模型估计参数 ，参考图像 算法流程：1)对训练样本图像进行分块处理(算法1.1)； 2)通过算法1.2，计算训练样本各个对应分块的ALBP特征归一化，再用K-means算法(可使用opencv等算法库实现，不再描述其算法)，将图像块分成k(k<K)类，获取k(k<K)个聚类中心，即为参考图像； 3)对分块的图像进行与
svc
- 模式识别中的svm支持向量机方法源代码。输入训练点特征及类别，程序将求解出基于样本类别的分类条件。-Pattern recognition svm SVM method source code. Input point feature and class training program will solve the classification based on the type of sample conditions.
SVM_One_Class
- 基于单类SVM的说话人语音分割的算法源程序-Based on one-class SVM speaker segmentation source code
libsvm_format
- Transform data to the format of an SVM package(libsvm) Each row represents one record [label] [index1]:[value1] [index2]:[value2] ... 2‐class label: +1, ‐1 n‐class label: 1..n
SVM_image_block_segment
- SVM 用于基于块划分特征提取的图像分类，主要针对一幅图片的类型进行判断，比如说是古建筑、水体、植被等。-SVM classfication for image class type, based on image block segmention.
SVM1allOpted
- SVM multi class 1 to all classifier matlab code
Classification_LS_SVMlab
- 基于SVM的分类器 支持两类分类 和多类分类选择最优参数-SVM-based classifier supports two types of classification and multi-class classification
Classification_OSU_SVM
- 基于SVM的分类器 支持两类分类 和多类分类-SVM-based classifier supports two types of classification and multi-class classification