搜索资源列表
Gaussian
- 高斯混合模型算法-Gaussian mixture model algorithm
关于高斯混合模型（GMM）的matlab源代码
- 关于高斯混合模型（GMM）的matlab源代码：,On the Gaussian mixture model (GMM) of the matlab source code:
cvbgfggaussmix.rar
- 混合高斯模型，用于背景建模的程序，使用时请安装OPENCV,Gaussian mixture model for background modeling procedure, the use of when you install OPENCV
GMM.zip
- Gaussian Mixture Model Simulation Source,Gaussian Mixture Model Simulation Source
GGDSMATLAB
- 对广义高斯混合模型有个初步的认识，基本掌握GGD模型-Generalized Gaussian mixture model has a preliminary understanding of the basic grasp the GGD model
mixture_of_gaussians
- 混合高斯模型 图像检测 可以应用于视频和图片-Mixture Gaussian model image detection can be applied to video and picture
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
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
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
fsmem_mvgm
- Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate
vdpgm.tar
- Variational Dirichlet Process Gaussian Mixture Model
GMM-GMR-v1.2
- GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
gmm
- Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
mlr
- Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
gmm
- A common method for real-time segmentation of moving regions in image sequences involves “background subtraction,” or thresholding the error between an estimate of the image without moving objects and the current image. The numerous approache
matlab_utilities
- 粒子滤波、无迹粒子滤波算法程序，高斯混合模型参数设置等详细代码-Particle filter, unscented particle filter program, Gaussian mixture model parameter settings, and more code
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.
fbm.2004.11.10
- 《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。 -This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
VBEMGMM
- 用Matlab写的高斯混合模型的贝叶斯EM估计，-Variational Bayesian EM for Gaussian mixture models
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.