搜索资源列表
GMM
- GMM - This code run very well and it has Demo
GMM
- this another gmm training matlab source code. it use k-means for initialization of parameter before trainig, not LBG algirhtm. so it is very helpful for GMM training-this is another gmm training matlab source code. it use k-means for initializati
GMM-GMR-v1[1].2
- 这是一个GMM模型的语音识别代码 非常详细 而且实用。-This is a GMM model for speech recognition is very detailed and useful code.
EM-GMM
- Em algo for GMM, data mining unsupervised learning-Em algo for GMM, data mining unsupervised learning
GMM
- GMM的说话人识别系统，识别效果90 多-GMM speaker recognition system, the recognition effect more than 90
GMM-Document-with-Matlab-code
- GMM－详细解释－with－Matlab代码-the document of GMM Matlab Code including
GMM
- 高斯混合模型，有详细的说明，而且有程序,希望下载，很有帮助的！-GMM including explanation and programs
GMM-Libraries-for-Matlab
- GMM-GMR!高斯混合模型-高斯混合回归-Gaussian Mixture model-Gaussian Mixture Regression!
em-algorithm-for-gmm
- 基于高斯混合模型(GMM)的em算法，给出了其matlab实现-em algorithm for GMM
GMM
- 做毕设是用到的gmm的matlab程序，测试过的 ，绝对可以用-Complete set is used to do the matlab program gmm, tested, can surely be
GMM
- 一种改进的混合高斯模型（GMM）算法，加入形态学滤波与团块处理算法，运动目标提取效果良好。(An improved hybrid Gauss model (GMM) algorithm, which combines morphological filtering and blob processing algorithm, achieves good moving target extraction.)
GMM-GMR-v2.0
- 统计概率模型 高斯混合模型的匹配，属于拟合类算法，可以用于2D 和3D数据(Expectation-Maximization estimation of GMM parameters. % This source code is the implementation of the algorithms described in % Section 2.6.1, p.47 of the book "Robot Programming by Demonstration: A %
GMM
- 比较好的高斯混合模型GMM，含数据生成，实验过程简单(A better Gauss mixture model GMM, including data generation, the experimental process is simple)
GMM-Code
- A two-stage mechanism of ECG classification using Gaussian mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing tha
GMM
- GMM()
GMM背景建模c++
- 混合高斯建模用于背景建模，用于背景检测，速度不是很快....C++语言(GMM background dectect)
GMM
- 此算法实现高斯混合，可以对初始聚类算法选择c均值和EM，可以实现密度估计和分类。(This GMM algorithm can estimate the density and class, the initial steps can select the C-mean and EM.)
Gmm
- 高斯混合模型,利用Ｃ++ OEPNCV来完成(This is a GMM model using C++ opencv to deal with it)
GMM-HMM-master
- GMM HMM()
GMM(1)
- python实现GMM算法，并使用NMI进行算法评估(Python implementation of GMM algorithm)