搜索资源列表
GMM
- 混合高斯em算法matlab源码可算三个参数-Em algorithm for Gaussian mixture can be considered three parameters matlab source
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
hh
- 【 摘 要】 提出了一种基于负熵的快速不动点1 C A算法， 介绍了负熵的定义和如何将其用作代价函数度量混合信号的非 高斯性。 详细介绍了基于负熵的固定点准则以及简化算法。实验选取 3个非高斯向量作为信号源进行 Ma t l a b分离仿真， 结果显示 分离效果良好。-Abstract Based on the rapid Negentropy 1 CA fixed point algorithm, introduced the definition of negentropy an
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
track
- 【highspeedlogic】matlab代做，基于高斯混合算法的视频目标跟踪算法的仿真-[matlab] highspeedlogic generation to do, based on the Gauss hybrid algorithm for video target tracking algorithm simulation
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.)
82603023mixture_of_gaussians
- 高斯混合噪声程序, 程序完整可以直接使用很方便(this is a matlab gmm program, easy and good)
GaussianMixtureModel_EM-master
- 用于混合高斯背景建模 MATLAB代码(The mixed Gauss background modeling MATLAB code)
最大熵滤波算法matlab仿真
- 包含基于Huber函数和最大相关熵的抗差滤波算法，以及与卡尔曼滤波算法的对比，用于GNSS导航定位粗差处理。同时主函数中包含混合高斯随机数生成方法。(The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNSS positioning. The mixed Gauss