搜索资源列表
GMM-GMR-v1.0
- gmm gmr gmm gmr
GMM
- 混合高斯模型的C++程序，封装成为C++的类，直接调用即可。-gaussian mixture model train code
gmmtbx
- 这是一个gmm的库，对学习gmm非常有用，希望大家多交流-This is a library gmm, gmm of learning is very useful, I hope all parties to have more exchanges
GMM
- 混合高斯em算法matlab源码可算三个参数-Em algorithm for Gaussian mixture can be considered three parameters matlab source
GMM
- 用vc寫的背景模組,可以用來在你想要的程式去研究其他的用途-this is a vc code to build background model , then can used to your program for other something research
VTraffic(thread_no_leak)
- VC6.0+opencv环境下运动检测的实例，使用了帧差法、GMM方法等，可以对比不同建模方法的效果-VC6.0+ opencv environment, motion detection example, using the frame difference method, GMM methods, you can compare the effect of different modeling methods
HMM
- 简单明了的HMM-GMM-KEAMS调用接口，C环境使用。-Simple HMM-GMM-KEAMS Call Interface, C environments.
gmm-gmr
- GMM Gaussian Mixture Models in C
paper_ICIP06
- 视频流中前景背景分离非常不错的算法。能适应阴影，水波，树枝晃动等复杂环境-BACKGROUND MODELING FROM GMM LIKELIHOOD COMBINED WITH SPATIAL AND COLOR COHERENCY
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
GMMmodelandtheBayesianclassifier
- GMM模型和贝叶斯分类器 用于视频图像的处理-GMM model and the Bayesian classifier for video image processing
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
GMM
- GMM说话人识别平台全套，从特征提取到模式识别，到识别率，一整套都有-GMM speaker recognition platform full, from feature extraction to pattern recognition, the recognition rate, set both
speaker1-GMM
- 基于GMM的说话人识别程序，提取梅尔倒谱特征进行训练-voice detection based on GMM
GMM
- 一种改进的混合高斯模型（GMM）算法，加入形态学滤波与团块处理算法，运动目标提取效果良好。(An improved hybrid Gauss model (GMM) algorithm, which combines morphological filtering and blob processing algorithm, achieves good moving target extraction.)
GMM-Code
- A two-stage mechanism of ECG classification using Gaussian mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing tha
GMM
- GMM()
GMM
- 此算法实现高斯混合，可以对初始聚类算法选择c均值和EM，可以实现密度估计和分类。(This GMM algorithm can estimate the density and class, the initial steps can select the C-mean and EM.)
GMM-HMM-master
- GMM HMM()
多维GMM聚类
- 该命令实现的是多维情况下的三维数据GMM聚类，该算法的缺点是使用matlab 对于大数据有计算机内存的要求。(This command implements GMM clustering of three-dimensional data in multi-dimensional situation. The disadvantage of this algorithm is that it requires computer memory for large data using matlab