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KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
svm-cailiao
- 支持向量机的原理、应用。支持向量机的算法、综述、核函数的定义等-Support vector machine principle, application. Support vector machine algorithm, summarized the definition of kernel function
gradient_descent_opt
- --- --- --- --- ---Kernel PCA --- --- --- --- - kpca1 | Simple Example of Kernel PCA on a artificial datasets | kpca2 | Example of KPCA. this is a B.Scholkopf modified routine | kpca3 | Example of Multilayer SVM with a KPCA as a fir
Support-vector-machine-
- 提出了一种支持矢量机的汉语声调识别新方法。论文首先在基频和对数能量的基础上，建立了一个适合于支 持矢量机分类的等维声调特征。然后对支持矢量机的多分类策略和不同核函数对声调识别的影响进行了实验研究。 与BP神经网络相比，支持矢量机具有更高的识别率和更强的推广能力。-This paper presents a novel support vector machine based Chinese tone recognition method．A new tone recognition
gaosihefenlei
- 用于SVM高斯核分类-Gaussian kernel for SVM classification-Gaussian kernel for SVM classification
aa2nt
- trainning and testing an svm using non-linaear kernel function. the code can be simulated under Matlab