搜索资源列表
svm
- SVM classifier: SVM is a traditional discriminative classification method.
mfccPSVM
- 本实例程序是基于matlab的语音识别程序,通过提取传统的MFCC特征集,采用当前流行的SVM分类器,作为对比实验是一个不错的选择。-This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice.
multisvm
- Multi SVM Classifier Matlab Code
svm-based-tone-recognition
- 基于svm分类器的汉语声调识别,实现了对声调四声的识别,纯净语音识别率100 ,噪声环境下识别率90 -The svm classifier based Chinese tone recognition, the four tones of tone recognition, the pure voice recognition rate of 100 , 90 recognition rate in noisy environments
606d9c1ae690
- 基于支持向量机的彩色人脸识别算法,包含完整的分类器。-Color based on SVM face recognition algorithm, including complete classifier.
svmdemo
- demonstration of SVM classifier with examples
chapter13_GA
- 对最小二乘支持向量机的核函数进行参数优化,最后得到分类更加准确的分类器-For least squares support vector machine (SVM) kernel function parameter optimization, finally get a more accurate classification of classifier
chapter15_0
- svm 的参数优化,利用交叉验证法选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of cross-validation method to the optimal parameter c g, and ultimately improve the training set classification accuracy,better improve the classifier performan
chapter15_PSO
- svm 的参数优化,利用pso(粒子群优化算法)选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of pso (particle swarm optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better impr
chapter15_GA
- svm 的参数优化,利用ga(遗传优化算法)选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the accuracy of the training set classification, better improve
gaSVMcgForClass
- svm 的参数优化,利用ga(遗传优化算法)选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能,这是ga的功能函数源码-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better imp