搜索资源列表
Torch5-0.8.0-Source.tar
- svmtorch 工具箱，功能强大，SVM学习必备-svmtorch toolbox
zcxlj
- 此为SVM支持向量机，下载后放入matlab工具箱里，即可使用！-This is the SVM support vector machine, after download in matlab toolbox, can use!
Pattern-recognition
- 有关模式识别的工具箱的使用，在c开发环境下，有关模式识别的一些算法，也可以用于SVM等算法功能实现-The pattern recognition toolbox use, in c development environment, the pattern recognition of some of the algorithm, can also be used for SVM) functions
BTSF-TOOLBOXa
- 基于支持向量机的时间序列工具箱，用用svm作时间序列预测可直接使用-Based on support vector machines time series toolbox, with svm for time series prediction can be used directly
Pprtools317a
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,IICA,PCA,NN等等模式识别算法.，已通过测试。 -MATLAB toolbox of pattern recognition, more practical, including SVM, IICA, PCA, NN pattern recognition algorithms. Has been tested.
libsvm-3.14
- svm的大牛编写的工具箱最新版，新手必备-a matlab toolbox for svm
Active-Learning
- 遥感图像分类工具箱，包含多种基于支持向量机分类器的主动学习算法-active learning toolbox, used for remote sensing data classification, includes most popular svm-based active learning algorithms.
libsvm-mat-2.89
- svm（支持向量机）工具箱，用于svm预测，模式识别，故障诊断.-svm (support vector machine) toolbox for svm prediction, pattern recognition, fault diagnosis.
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
SVM_MATLAB
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Vector Machine SVM classification and regression algorithm toolbox four support. Written in MATLAB
sound
- 用SVM进行声音分类的程序，自己编的，效果挺好，用的是libsvm工具箱-With the sound of SVM classification procedures, own, and the effect is very good, with the libsvm toolbox
GridSearch_svm_cg
- 支持向量机参数网格寻优算法 a toolbox with implements for support vector machines based on libsvm-svm gridsearch
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
GRNN
- 这是编好的程序[cp,zq]=grnn(data,yy) gaussian SVM，GRNN 的正确率，击中率，正确拒绝率在19个先天盲人中的为： SVM GRNN 0.68421 0.73684 0.83333 0.83333 0.42857 0.57143 解压到MATLAB的TOOLBOX文件夹里，然后刷新工具箱，在命令窗口输入：rehash toolboxcache。 然后就可以用我的那个函数了。- It is program
LS-SVM1
- 最小二乘支持向量机的工具箱程序，附可运行的SVM回归的例子，还有工具箱使用说明。-Least Squares Support Vector Machine Toolbox program, you can run the example attached SVM regression, as well as kit instructions.
LS-SVM-lab-Toolbox-Users-Guide
- 最小二乘支持向量机的指导手册，初学者必备，帮助你快速入手程序-lssvm guide
libsvm-mat-2.91-1
- 支持向量机中一个工具箱，支持二分类，四种不同的核函数-SVM a toolbox supports two classification, four different kernel functions
Libsvm-FarutoUltimate
- 介绍libsvm-farutoUltimate版本，对原有libsvm工具箱新增功能，如SVM中参数优化、数据归一化和GUI可视化都有详细讲解。-It introduces the version of libsvm-farutoUltimate,and analyzes in detail the new features of the original libsvm toolbox such as SVM parameters optimization, data normalization
Classification-and-regression
- 分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。-The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The corresponding function calls can be used for classification as well as
vad_directed_by_noise_classification
- vad_directed_by_noise_classification.m This code is an implementation of VAD algorithm proposed in: Robust voice activity detection directed by noise classification please cite the article in your paper: Robust voice activity detec