搜索资源列表
EM
- 用matlab语言写的EM(Expectation maximization)算法,用于模式分类
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
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
EM
- 用于估计未知数据的EM算法，即最大期望算法，用到的地方很多，可用来做同步。-The data used to estimate the unknown EM algorithm, that is the maximum expectation algorithm, used in many places, can be used for synchronization.
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
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.
mlem
- 关于最大似然重建方法的实现，可用于tomography reconstruction-This is the code for maximum likelihood expectation maximum reconstruction method which is frequently applied in tomography reconstruction, such as CT and PET
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
Untitled
- 人口迁移算法，此程序实现人口迁移算法，用于求解无约束连续函数最小化问题。对于最大化问题，请先将其加负号转化为最小化问题-Population migration algorithm to achieve this process migration algorithm for solving unconstrained minimization problem of continuous functions. For the maximization problem, please add th
ExpMaxSeg
- This program is for image segmentation using Expectation maximum
GMM-GMR-v1.2
- GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
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.
mlr
- Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
lds
- Linear dynamical system. This set of functions performs inference and learning of a linear Kalman filter model. Inference is carried out via forward-backward smoothing, and learning is accomplished via the expectation maximization algorithm.
Informax_FastICA
- 一个基于信息最大化的盲信号分离算法，详细的文章可以在网络上搜索。-One based on information maximization algorithm for blind signal separation, detailed article on the network search.
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])