搜索资源列表
EM
- EM算法,迭代得到高斯混合模型对原数据进行估计.直接运行EM.m,可以直观观察运行结果-use EM algorithm to get GMM(Gaussion Mixture Model)
MSR-Identity-Toolkit-v1.0
- 微软研究院的说话人识别工具包,包括GMM-UBM、I-Vector。其中demo_gmm_ubm_artificial.m和demo_ivector_plda_artificial.m为生成模拟特征参数进行训练与识别的教学示例,十分适合初学者学习说话人识别基础算法。具体使用方法请看内部文档。-Microsoft Research s speaker recognition toolkit, including GMM-UBM, I-Vector. Demo_gmm_ubm_artificial.
EM-Algorithm-for-GMM
- Expectation Maximization algorithm for Gaussian Mixture Model Training
speaker-recognition
- 基于mfcc和gmm的说话人识别系统,go.m为主程序。 部分程序采用的是台湾张智星先生编写的sar和dcpr工具箱,在此表示感谢。-Mfcc and gmm based speaker recognition system, go.m main program. Part of the program is used in Taiwan, Mr. Zhang Zhi Xing written sar and dcpr toolbox to express my gratitude.
word_recognition
- word recognition using VAD MFCC G-word recognition using VAD MFCC GMM
mixture_of_gaussians
- GMM for image segmentation
mixture_of_gaussians2
- Simple GMM os image segmentation
Video-based-traffic-statistics
- 在整个实现过程中,背景建模是核心,采用基于高斯混合模型的背景建摸方法。-Throughout the implementation process, background modeling is the core, built on the background of GMM touch method.
ABGMM
- GMM dynamic panel estimation as in Arellano et Bond (1991) Review of Economic Studies 58, p 277-297
3001562
- 基于gmm的语音识别系统,进行声纹识别,数据样例也有-Speech recognition system based on GMM
GMM-GMR-v2.0
- 利用混合高斯模型对背景图像进行建模,所谓“混合高斯”的意思就是每个像素都是由多个单高斯分布混合组成的。-Name of the file which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA s nvbin are supported for HAAR and only new type of OpenCV XML ca
gmm
- EM算法以及混合高斯模型,c++实现,控制台程序,函数调用很简单方便。可以在低版本vc6.0运行。-EM algorithm and hybrid Gauss model, c++ implementation, the console program, function call is very simple and convenient. Can be run at low vc6.0.
GMMmatlab
- GMM算法用于多个正太分布参数估计-GMM designed for more than one arguments gussing and so..............
GMM
- Hestion期权定价模型的波动方程中参数的广义矩估计-Generalized wave equation parameters of Heston option pricing model Moment Estimation
emgm
- GMM calculation using Expectation Maximization.
novelty_detection_gmm
- 使用holcon基于高斯混合模型对网格的异常检测-This example program shows you how to use the GMM classifier for novelty detection to perform a web inspection task. To perform the novelty detection, * all pixels belonging to the single trained class are computed, and
classify_fuses_gmm_based_lut
- 在holcon使用高斯混合模型的查阅表对颜色进行分类-In this example five different color fuses are segmented with a look-up table classifier (LUT) based on a Gaussian Mixture Model (GMM).
MOG2_OPENCV2.4.9
- 经典背景减除方法,MOG2(或GMM),从opencv2.4.9中单独提取出来的,经过实验调试通过的,可同其他背景减除方法结合或对比。-It is a typical background subtraction mathod, which is OpenCV 2.4.9. It was proposed by Zivkovic in 2014ICPR and proved effective.
OneCutWithSeeds_v1.03
- one cut 算法是微软研究院发表的一篇关于前背景图像分割论文,用户只需简单地交互,即可快速分割前背景,代码比较清晰,内部graph cut和gmm等一些算法可以拿来学习或借鉴。-one cut algorithm is the Microsoft Research published a paper on the front background image segmentation, the user simply interact, you can quickly split befor
MixtGaussian
- 在matlab环境运行。基于GMM的说话人识别程序源代码,可直接运行。有详细的文件资料-Matlab environment runs. GMM based speaker recognition program source code, can be directly run. Detailed documentation