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對model做expectation maximization
- 對model做expectation maximization
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
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
emgmm
- 最大的高斯混合模型似然估计的期望最大化算法-Maximum likelihood estimation of Gaussian mixture model by expectation maximization algorithm
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.
lifetimemaximizationviaanewcooperativeMACprotocol.
- 在无线传感网络中通过一种新的协作通信MAC层协议实现传感网络的生命最大化-for lifetime maximization via a new cooperative MAC protocol in wireless sensor networks
empca
- I present an expectation-maximization (EM) algorithm for principal component analysis (PCA).
GeneralExpectationMaximization
- expectation maximization algorithm
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
gmmbayestb-v0.1.tar
- This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three
EM(1020B)
- Expectation-maximization algorithm
registration_EM
- It actually simulates the registration process of multiple dissimilar sensors in a wireless sensor network using the expectation maximization algorithm.
em
- Expectation Maximization for training GMM s, diagonal covariances. Requires vqtrain.m to have a good initialization.
max_sin
- maximization of sinx using in genetic algorithms
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