搜索资源列表
Gaumix_EM
- 使用高斯模型期望值最大化演算法,做圖形分割 Gaumix_EM: EM Algorithm Applicated to Parameter Estimation for Gaussian Mixture
xml_toolbox-3.2.1-matlab-7.0-R14
- 高斯混合模型的matlab的实现,但是不包含em算法在里面,但是有版权,注意阅读内容-Gaussian mixture model of the matlab implementation, but does not include the em algorithm inside, but has the copyright and pay attention to read the content
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
EM_Algorithm
- 混合高斯背景建模的EM估计算法,是一篇英文资料,希望对大家有帮助。-EM estimation algorithm for Gaussian mixture background modeling, is an English data, we want to help.
mixGaussEm
- matlab m文件 EM算法混合高斯模型-matlab m file EM algorithm Gaussian mixture model
fit_mix_gauss
- 对参数使用最大期望算法进行拟合成混合型高斯分布。-fit parameters for a mixed-gaussian distribution using EM algorithm
EmGMM
- 高斯混合模型的最大期望迭代求解算法,可用于图像区域灰度分布估计-Expectation maximazation(EM) for Gaussian mixture model(GMM)
EM_CD
- 基于高斯混合模型和EM(Expectation Maximization)算法的SAR影像变化监测算法,并附带示例。总体思路是首先将两个时期的SAR影像做log和ratio运算,生成差分影像,然后通过EM算法估计高斯混合模型的参数,最后根据高斯混合模型最大概率,生成变化监测结果。-Unsupervised change detection method for SAR images using EM algorithms of Gaussian mixture model