搜索资源列表
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
GMM
- 利用K-高斯混合模型提取视频的前景信息。-The use of K-Gaussian mixture model for the future of video information extraction
11912869gmm-gmr
- 高斯混合模型,为了减少语者自己语音本身的变异性,只留下语者间彼此的变异性,在建立语者特定模型时,先训练一个语者不特定模型,-interpriter
EM_GM_fast
- EM基于高斯混合模型的EM算法,EM基于高斯混合模型的EM算法EM基于高斯混合模型的EM算法-EM-based EM algorithm for Gaussian mixture model
gmmMatlab
- 关于高斯混合模型(GMM)的matlab源代码-是用于训练分类的不错的源代码-On the Gaussian mixture model (GMM) of the matlab source code- is used to train a good classification of the source code
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
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.
gaussiangradient
- 是关于高斯混合模型的背景建模程序,是关于opencv改进的,自己编程的程序。-Gaussian mixture model on the background modeling procedure is about opencv improved, their own programming procedures.
20100107
- 一种基于高斯混合模型的距离图像分割算法。-Based on Gaussian mixture model for image segmentation
GMMS
- OPENCV下基于高斯混合模型的图像分割,程序中还有 基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
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
GMM_VC
- 高斯混合模型的vc程序,可以在数学建模中使用,对图片分类-source code of gmm on vc
NSCTtransform
- 基于高斯混合模型的NSCT变换遥感图像融合-Gaussian Mixed Model Based NSCT Remote Sensing Image Fusion
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
gmm
- 求高斯混合模型的EM算法,matlab程序。-Seeking EM algorithm for Gaussian mixture model, matlab program.
GAUSSIANloglikelihood
- GMM高斯混合模型大规模概率对数计算 需要一个模型地址文件和一个需要识别的声音的mfc文件可以一次执行大批量-GMM Gaussian mixture model probability on the number of large-scale computing need a model of address file, and the voice of the mfc file which need to be identified .can be an implementation
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
DxSampleCxImage
- GMM GMM高斯混合模型聚类 Gaussian mixture model clustering-GMM GMM Gaussian mixture model clustering
GMMandSGM
- 一篇详细的介绍高斯混合模型(GMM)参数优化及实现的文档,有实例, 包括VC及matlab 实现。初始学者一看就能懂-A detailed descr iption of Gaussian mixture model (GMM) parameter optimization, and implementation documentation, including the VC and the matlab implementation
EM_init_kmeans
- 高斯混合模型参数初始化程序,在对高斯混合模型的建立之前采用KMEANS算法进行初始化-Gaussian mixture model parameter initialization procedure, in the Gaussian mixture model is initialized before the algorithm used KMEANS