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gmmem_several
- GMM是语音识别中比较成熟的算法之一，这个MATALB完整的实现了基于GMM算法的识别训练程序，可以适用于GMM识别和学习的同行的参考-GMM is a speech recognition algorithm for the more mature one, this MATALB full implementation of the identification algorithm based on GMM training procedures, can be applied to GMM
GMM
- Generalized Method of Moments(GMM) 广义矩方法，是用来估计模型参数的计量经济学过程。具体说明见其中的gmmdoc.pdf。-Generalized Method of Moments (GMM) GMM method is used to estimate model parameters Econometrics process. See which specify gmmdoc.pdf.
gmmtbx(1)
- GMM工具箱第一部分。包含了GMM算法的各个函数，对GMM建模很有帮助.-GMM first part of the toolbox. GMM algorithm contains all functions of GMM modeling helpful.
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature v
08gmm
- GMM很好的理论资料,对高斯模型的详细描述以及EM算法的介绍。对编程有一定的帮助。-This is for the initial researcher to study about the GMM Model.
emfull
- Expectation Maximization for training GMM s, full covariances. Requires vqtrain.m to have a good initialization.
GMM
- GMM说话人识别平台全套，从特征提取到模式识别，到识别率，一整套都有-GMM speaker recognition platform full, from feature extraction to pattern recognition, the recognition rate, set both
automatic_image_segement
- 本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy