搜索资源列表
克里金插值matlab源程序
- 克里金插值matlab源程序，采用高斯模型，简单有效。,Kriging interpolation matlab source code, the use of Gaussian models, simple and effective.
my_GGD
- 广义高斯模型参数估计，效果相当不错！ 广义高斯模型参数估计，效果相当不错！-general gaussian parameters estimate
blogreg
- 实现在参数先验是高斯分布情况下，利用马尔科夫链蒙特卡洛算法来对Logistic 回归模型参数的后验分布进行抽样 -It implements different Markov Chain Monte Carlo strategies for sampling from the posterior distribution over the parameter values for Logistic Regression models with a Gaussian prior on th
GMM_Skin_Detector
- Matlab skin detector。运用高斯混合模型训练的到人的皮肤颜色分布。用于皮肤和人脸检测。-A collection of Matlab scr ipts
gmm_test1
- 使用高斯混合模型（GMM)模拟模式识别的源代码-The use of Gaussian mixture model (GMM) Analog Pattern Recognition of the source code
e_m_matlab
- 高斯混合模型的em 内含源代码与例子和实验报告-Gaussian mixture model of the em algorithm
gaussmix(Bouman)M
- 高斯混合模型用于聚类的程序。可以直接使用。里面有3个例子。-Gaussian mixture model for the clustering process. Can be used directly. Inside there are three examples.
face
- 人脸检测，基于肤色信息的皮肤区域粗检。自适应高斯模型，-Face detection, skin region based on color information, rough inspection. Adaptive Gaussian model
gmm
- 求高斯混合模型的EM算法，matlab程序。-Seeking EM algorithm for Gaussian mixture model, matlab program.
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
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
mixture_of_gaussians
- 这个程序是基于混合高斯背景模型的运动目标检测算法，m文件和所用视频放到matlab的工作目录下即可运行-This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run
mixture-Gauss-model-EM-matlab
- EM算法计算混合高斯模型，可以计算三个参数。-Gaussian mixture model EM algorithm, three parameters can be calculated.
EM
- 利用Matlab编程验证用EM算法估计的高斯混合模型的相关参数的性能。-Validate the use of Matlab programming estimated using EM algorithm for Gaussian mixture model parameters related to the performance.
EM_GMM
- 用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法（MCEM）的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))
Guess
- 用m语言绘出高斯分布，并以GMM模型的简单例子来进行非曲线拟合。(The Gauss distribution is drawn in M language, and a simple example of the GMM model is used to do the non curve fitting.)
课程设计之高斯白噪声
- 本文在matlab环境下构建了4PAM和8QAM在加性高斯白噪声信道传输的系统模型，通过matlab程序仿真，研究 不同调制方式对信号的误比特性能比较。(additive white Gaussian noise)
EM_GM_fast
- 高斯混合模型中的EM算法（就不完整数据的极大似然估计）应用(EM algorithm in Gauss mixture model)
Kdistribution
- 基于球不变随机过程法，使用复合高斯模型来产生K分布杂波数据的matlab仿真程序 (为了不低于上传文件的大小要求传了两份一样的，编程就几句话实在弄不大）(A matalab simulation program for producing K distribution clutter data, which used compound Gauss model, and is based on spherically invariant random vector method)
EM算法用于高斯混合模型
- EM算法在高斯混合模型的参数估计中的应用，内服Matlab程序例子。(Application of Matlab program and EM algorithm in parameter estimation of Gaussian mixture model.)