搜索资源列表
EM
- GMM的优化，用EM算法实现高斯混合模型-GMM optimization algorithm EM
GMM
- 利用GMM算法实现语音信号的高斯混合模型的建立-Gaussian mixture model GMM algorithm of speech signals
EM-GMM
- 利用EM算法实现高斯混合模型的优化，完成特征建模-Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling
daima
- 混合高斯模型 图像处理高斯混合模型(Gaussian而 xturemodel，简称GMM)是单一高斯概率密度函数的扩展和延伸，由于GMM能够平滑地近似任意形状的密度分布，因此近年来常被用在视频及语音信号的处理中-Gaussian mixture model for image processing
GaussDetect
- 基于高斯混合运动背景模型的运动目标检测和跟踪源程序-Moving target detection and tracking the source of the background model based on Gaussian mixture motion
object-tracking
- 对视频作目标检测跟踪的VC++程序，使用了openCV开源库，包含帧差法、背景估计法、高斯混合模型法以及卡尔曼滤波。可正常运行。-VC++ program for target tracking,based on openCV, incuding multiple algrithms,such as Karlman filter.
T1001ziph
- 这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。 -This is a detailed introducer face detection and voice-driven lip article, which makes use of a Gaussian mixture model to take unsupervised clustering methods, hope useful for you.
GMM_kmeans_mix
- 用于说话人识别（声纹识别）训练过程或识别过程的高斯混合模型-GMM model for training process or testing process of Speaker recognition
GMM_SID
- 用于说话人识别（声纹识别）中训练过程和识别过程的高斯混合模型程序-GMM model for the training process or test process of speaker identification
paper3
- 基于隐马尔可夫模型和高斯混合模型结合的声音转换方法.pdf-Combination of hidden Markov models and Gaussian mixture model-based voice conversion method. Pdf
GMM
- 使用openCV写的高斯混合模型前景分离作业。-Extract the foreground from video sequence using Gaussian Mixture Model（GMM）with openCV.
GM-PHDsmooth
- 检测前跟踪 粒子滤波 概率假设密度 高斯混合粒子 平滑-Pre-test tracking particle filter probability hypothesis density Gaussian mixture particle smoothing
dpmm
- Dirichlet 基于高斯混合的无穷维分类器-dirichlet mixture of model
PureDenoise_
- 采用Pure-LET对泊松-高斯混合噪声去除，paper在IEEETIP上-denoise poissonian-gaussian-noise through Pure-let method the paper is on IEEE T IP
EMCluster
- EM高斯混合多变量模型聚类算法，直接可以运行-EM Gaussian mixture model clustering algorithm, and can be run directly
EM-
- EM检测 初级实例 多高斯混合 First, one of the k Normal distributions is selected at random. Second, a single random instance xi is generated according to this selected distribution. -EM algorithm (Dempster et al.1977)，a widely used approach to learning in the pr
FastMixGauss
- 针对视频序列运动目标检测，用vc++实现快速高斯混合建模进行前景背景的分离。-In motion object detection of video sequence, with vc++ realize rapid gaussian mixture model carries on the separation between foreward and background.
em(1)
- EM算法实现高斯混合模型参数估计的matlab程序，可以下载学习。-EM algorithm to achieve the matlab program Gaussian mixture model parameter estimation, you can download the study.
GMM-recognition
- 使用高斯混合模型（GMM），对声音信号进行识别，包括对特征参数的采集、训练和识别过程-Using the Gaussian mixture model (GMM)to realize the recognition of the sound signal, including the acquisition of the characteristic parameters,the training and the recognition process
mixture_of_gaussians
- 基于高斯混合模型的物体运动检测程序，简单易懂，直接可以使用-Object movement detection program based on inter-frame difference method is simple and easy to understand, can be used directly