搜索资源列表
E_M_matlab
- 机器学习中的E M算法，本代码是基于高斯混合模型的E M 算法聚类。-machine learning algorithm E M, the code is based on the Gaussian mixture model clustering algorithm E. M.
stprtool18sep06
- 关于matlab数学统计方面的程序。包括支持向量机，混合高斯模型等等。-Matlab mathematical statistics on the procedure. Including support vector machines, Gaussian mixture model, and so on.
HaarFaceDetect
- 视频监控系统完整源码（本人本科毕业设计），运用帧间差分算法，运用高斯混合模型来实现背景的实时更新，以减少由于环境的变化对检测结果的干扰。-Video Surveillance System integrity of the source code (I graduated from undergraduate design), use interframe difference algorithm, Gaussian mixture model used to achieve the real-
HMT
- 高斯混合模型，一个非常有用的图像处理方法-Gaussian mixture model, a very useful image processing method
MultivariateGaussianMixtureModelOptimizationbyCros
- Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
gmmMatlab
- gaussian mixture modelling in matlab
em_gm
- EM算法是机器学习领域中常用的一种算法，这个文件是EM算法最简单的一种实现，即在Gaussian Mixture model上面的EM。
Gaumix_EM
- 使用高斯模型期望值最大化演算法,做圖形分割 Gaumix_EM: EM Algorithm Applicated to Parameter Estimation for Gaussian Mixture
gmm
- Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.
misc
- Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian m
EM_GM
- ％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likeli
m2html
- GMMBayes Toolbox Feature Representation and Discrimination Based on Gaussian Mixture Model
gmmbayestb-v1.0
- GMMBayes Toolbox Feature Representation and Discrimination Based on Gaussian Mixture Model
gmmTrain
- gmmTrain: Parameter training for gaussian mixture model (GMM)
Solving Inverse Problems with Piecewise Linear
- A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm.
opencv em算法
- Expectation-Maximization The EM (Expectation-Maximization) algorithm estimates the parameters of the multivariate probability density function in a form of the Gaussian mixture distribution with a specified number of mixtures.
混合高斯背景建模用于检出背景
- 混合高斯背景建模用于检出背景，并提取前景，在OPENCV环境下操作进行的。是数字图像处理领域不可缺少的一种处理方式。OPENCV库里含有的函数在数字图像中的作用都是不可获取的，用起来简单又便捷，建议OPENCV从头认真学起-Gaussian mixture background modeling for the detection of background and foreground extraction, OPENCV environment in the operation. The f
sho.rar
- 基于c++的，运用opencv开发包的高斯混合模型，用于视频中运动物体的检测,Based on c++ And use the development package opencv Gaussian mixture model for moving objects in video detection
dd_tools.rar
- ddtool,实现one class classification.包括gaussian 模型， gaussian 混合模型，Parzen density，knn,kmean,kcenter等方法,ddtool, the realization of one class classification. including the Gaussian model, gaussian mixture model, Parzen density, knn, kmean, kcenter methods
GMM.rar
- 混合高斯建模是背景建模中的一种经典方法，对复杂背景具有较好的适应性！,Gaussian mixture modeling is modeling in the context of a classical method, the complex has better adaptability background!