搜索资源列表
Em
- 通过em算法实现对数据的高斯混合模型的分类-Em algorithm through implementation of data Gaussian mixture model classification
gmm
- 高斯混合模型的详细实现 内有多个.m文件-Gaussian mixture model has a number of detailed implementation. M files
Matlab-HMM
- 基于高斯混合模型的情感识别算法 matlab -Hmm emotion recgonition
Mixed-Gussian-matlab
- 基于混合高斯模型的matlab代码，用于求概率问题，可行，已经运行过了-Based on Gaussian mixture model matlab code for the required probability problems, feasible and has been running over
gaosi
- 采用MATLAB进行高斯混合模型建模，进行追踪。简单易懂-Examples of histogram equalization
guassian
- 基于matlab的高斯混合模型的建立（matlab代码+注释）-guassian mixed model
交叉熵优化高斯混合模型
- matlab最大似然优化与交叉熵(CE)多高斯混合估计算法的应用(Maximum Likelihood Optimization and Cross Entropy (CE) Multi - Gaussian Mixture Estimation Algorithm)
RZLNB33
- 关于高斯混合模型GMM的matlab源代码,不错的源码(About gaussian mixture model of GMM matlab source code, source code)
高斯混合模型EM算法MATLAB程序
- 在高斯混合模型上实现聚类问题的算法。将2个高斯混合，然后尝试学习两个高斯混合后的参数。(Algorithm for clustering problem on Gauss mixture model. Mix the 2 Gauss and then try to learn the parameters after the two Gauss mixing.)
mixture_of_gaussians
- 采用高斯混合模型来对目标进行前景检测，并用MATLAB实现。(The Gauss mixture model is used to detect the foreground of the target, and it is implemented by MATLAB.)