搜索资源列表
szpGauss
- 用C＋＋实现的高斯混合模型的算法类，方差矩阵是对角矩阵-C + + Gaussian mixture model algorithm category, variance matrix is diagonal matrix
111186761EMnormmixtest.rar
- 用matlab实现高斯混合模型Em算法的源程序哪位有呀,帮帮忙啦- 工具箱与,With the realization of Gaussian mixture model matlab algorithm Em Which source are you? Help help you- the toolbox and
Cross-Entropy
- 交叉熵实现多元高斯混合模型优化的源代码，供大家学习使用-Realize cross-entropy optimization of multi-Gaussian mixture model of the source code for the U.S. study the use of
Pattern_Classification_Project_3
- 两个模式识别算法实现，一个是线性区别函数另一个是混合高斯模型方法。本人的大作业，经验证可用。-Two pattern recognition algorithm, the difference between a linear function of the other is the Gaussian mixture model. I am a big operation, experience certificates available.
EM_1D
- 一维EM算法MATLAB实现，两分支高斯混合模型，均值和方差都不相同。-one dimensino EM algorithm implemented by MATLAB. Estimate the mean and variance of Gaussian Mixture Model with two branches.
GMMspeakers
- 用高斯混合模型来实现说话人识别的源代码，识别效果挺好的-Using Gaussian mixture model to achieve the source code for speaker recognition, recognition results in very good shape
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam
em
- MATLAB实现的EM算法，用于高斯混合模型的均值、方差、权重估计-EM algorithm based on MATLAB
EM
- 介绍EM算法原理及其实现，比较基础，常用于求解高斯混合模型-The book introduces the EM algorithm
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
emgm
- EM算法用于高斯混合模型，实现数据的精确分类-The EM algorithm for Gaussian mixture model, the exact classification of the data
EM
- GMM的优化，用EM算法实现高斯混合模型-GMM optimization algorithm EM
GMM
- 利用GMM算法实现语音信号的高斯混合模型的建立-Gaussian mixture model GMM algorithm of speech signals
EM-GMM
- 利用EM算法实现高斯混合模型的优化，完成特征建模-Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling
EM
- 实现EM算法的MATLAB仿真程序，利用高斯混合模型实现EM聚类算法，并比较估计参数。-EM algorithm to achieve the MATLAB simulation program, using Gaussian Mixture Model EM clustering algorithm, and compare the estimated parameters.
GMMshibie
- 通过应用高斯混合模型来实现语音识别，语音样本为短时语音-By applying a Gaussian mixture model to achieve speech recognition, voice samples of short-time speech
改进的高斯混合背景模型的实现
- 利用改进的高斯混合模型对前景目标的提取有较好的作用，这是基于OpenCV的C++程序，请安装OpenCV库进行调试(The improved Gauss mixture model has a good effect on foreground target extraction. This is a C++ program based on OpenCV. Please install OpenCV library for debugging)
GMM
- 高斯混合聚类的python实现代码，里面有data的demo(Python implementation code of Gauss mixed clustering)
GMM
- 实现了EM算法对高斯混合模型进行聚类，并将聚类结果用图像展示出来，希望对混合模型的朋友有用。(The EM algorithm is implemented to cluster the Gauss mixture model, and the clustering results are displayed with images, hoping to be useful to friends of the mixed models.)
GMMs作业
- 机器学习作业GMMs算法实现，机器学习课程的一个小作业，没什么用。(Implementation of machine learning task GMMs algorithm)