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fisher
- 人脸识别，分类SVM，对图片进行训练，标签，识别。-Face recognition, classification SVM
PCAPSVM-OCR
- 基于pca和svm特征的人脸定位技术研究，对于人脸的嘴巴 鼻子 眼睛 脸的轮廓进行特征判断区分。-to basic PCA AND SVM MODE ocr
helpsvm
- 自控应用svm的介绍文档，方便下载传看。-mysvm is used to train a SVM on a given example set and testing the results.it is very conveninent to learn about it by u self.
adams
- 很好的刚醒建模书籍，还有很多其他的书，有要的找我-Small Samples Based on SVM
How-To-Use-SvmChen2.0
- 如何使用svm工具箱的文档，写的很详细，我们一定要分享出来，-How to use the SVM toolbox documentation, written in great detail, we have to share out,
PSO-optimization-of-SVM
- 这篇文章主要描述了基于粒子群算法下的支持向量积的研究-This article describes a study based on support vector particle swarm under integrable
everyone-can-use-libsvm
- svm的简介，以及使用指南，非常简单，通俗易懂，适合零基础的人学习-svm introduction and guide, very simple, easy to understand, for people to learn the basis of zero
aa2nt
- trainning and testing an svm using non-linaear kernel function. the code can be simulated under Matlab
SVM-and-Correlation-optimization
- 关于支持向量机以及相关算法的最新文章，想要学习的可以多多学习1-About support vector machines and related algorithms, the latest article, you want to learn a lot of learning 1
svm-target
- Wireless node tracking in wireless sensor networks using support vector machine
SVPWM_Rectifier_3phase
- This files shows SVM modulation
libsvm_library
- libsvm的工具包的关于支持向量机的理论应用的说明。-Descr iption Theory of SVM libsvm toolkit on the support.
HadoopPSVM
- 基于Hadoop和Spark环境下的SVM分类的实现，该包括Spark环境配置。-Spark and implement SVM classification Hadoop-based environment, which includes Spark environment configuration. .
chen2013
- A NEW ONE-CLASS SVM FOR ANOMALY DETECTION
SVM
- 支持向量机入门课件，libsvm安装,支持向量机入门课件-support vector machine courseware,libsvm installation,support vector machine courseware
hmmSVMybrid2
- A Hybrid SVM/HMM Acoustic Modeling Approach to Automatic Speech Recognition
SVM-yindao
- 使用Opencv C++中的支持向量机进行引导，对其进行分类并预测。-Opencv C++ using the support vector machine to guide the classification and prediction.
SMM-SVM
- this is a model about Space Vector Modulation for Three leg Two level inverter
0755
- 包括最小二乘法、SVM、神经网络、1_k近邻法,采用加权网络中节点强度和权重都是幂率分布的模型，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Using weighted model nodes in the network strength and weight are power law distribu
tenpai_v19
- 意信号卷积的运算,并且绘制图象，双向PCS控制仿真，包括最小二乘法、SVM、神经网络、1_k近邻法。- Convolution operation is intended to signal and image rendering, Two-way PCS control simulation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.