搜索资源列表
infomaxica
- 信息极大化算法，用在模式识别中可以提高识别率。-information maximization algorithm, used in pattern recognition can improve recognition rates.
gaussianSrc
- The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussi
gmm
- 一个在matlab环境下编写的采用expectation maximization方法计算高斯混合模型的程序。
EM
- 用matlab语言写的EM(Expectation maximization)算法,用于模式分类
icaML
- This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixin
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
Expectation-Maximization.zip
- 混合高斯分布中基于最大期望算法的参数估计模型，适应于通信与信号处理以及统计学领域,Mixed Gaussian distribution algorithm based on the parameters of the greatest expectations of the estimated model, adapted to communications and signal processing, as well as the field of statistics
PCAL1
- TPami上的Principal Component Analysis Based on L1-Norm Maximization的源代码，我是向作者要的。-source code of Principal Component Analysis Based on L1-Norm Maximization
EM
- EM算法介绍及Matlab演示代码(一维和多维高斯混合模型学习算法)-Introduction of EM algorithm and Matlab codes that implement the algorithm
fastica
- 用matlab实现的最大化负熵的独立分量分析方法，作了正交化处理，可以同时分离出所有的独立分量（无噪声条件下）-Using matlab to achieve the maximization of the negentropy method of independent component analysis, orthogonal made of processing, can be isolated from all of the independent component (no nois
Blobworld
- Blobworld:基于期望最大算法的图像分割 及其在图像查询中的应用 -Blobworld: Image segmentation using Expectation-Maximization and its application to image querying
Clustering
- duke的tutorial on EM的matlab经典源码，值得一看。-Matlab code for the tutorial on Expectation Maximization，worth a visit.
my_method
- 一种新的方法，可以自动对两幅图像进行刚性配准。采用matlab和c++混编，速度得到一定的提高。-Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information.
fsmem_mvgm
- Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate
gmm
- Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
ExpectationMaximization
- Expectation Maximization
EMdemo
- This is Expectation Maximization algorithm code.
em
- Expectation-Maximization algorithm
EM-for-HMM-Multivariate-Gaussian-processes
- Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
use-estimate-maximization
- use estimate maximization to calculate maximization of equation