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Description: em算法求解混合高斯模型，适合图像处理中，对象分割-em algorithm Gaussian mixture model suitable for image processing, object segmentation
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Size: 1024 |
Author: 文刀 |
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Description: 这是一个用于雷达仿真的图像处理Matlab程序,希望它能对你有所帮助.-This is a radar simulation for the Matlab image processing procedures in the hope that it will be helpful to you.
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Size: 212992 |
Author: 林颖 |
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Description: 关于神经网络的matlab程序，有需要的可以看看。-on neural network Matlab procedures, it can look at the needs.
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Size: 1024 |
Author: 高强 |
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Description: 《利用MATLAB实现图像处理》.caj
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Size: 212992 |
Author: river_side |
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Description: Matlab toolbox for Hidden Markov Modelling using Max. likelihood EM. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox. LAST UPDATED: 25 Feb. 2002.
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Size: 716800 |
Author: 王冰 |
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Description: EM算法，基于期望最大化原则进行密度估计-EM algorithm, based on the expectation maximization of the principle of density estimation
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Size: 3072 |
Author: 丁宏锴 |
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Description: 关于卡尔曼滤波的matlab工具箱，里面有好几个，大家可以参考-Kalman filter on matlab toolbox, which has quite a few, everyone can refer to
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Size: 299008 |
Author: liqinxue |
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Description: EMD方法的matlab实现，并配有实例。-EMD method matlab realize, and with examples.
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Size: 157696 |
Author: nac |
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Description: EM算法处理高斯混和模型，是用MATLAB实现的-EM algorithm for Gaussian mixture model of treatment is achieved using MATLAB
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Size: 1024 |
Author: 李晋博 |
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Description: 高斯分布期望优化（em）算法matlab实现，流量矩阵模型-Optimization of Gaussian distribution expectations (em) algorithm matlab realized, the flow matrix model
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Size: 3072 |
Author: jiangzhi |
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Description: 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。-EM field of machine learning algorithm is commonly used in an algorithm, this document is the most simple EM algorithm as a realization that, in Gaussian Mixture model above EM.
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Size: 3072 |
Author: De-Chuan Zhan |
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Description: 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
-Gaussian model using expectation maximization algorithm, to do graphics segmentation Gaumix_EM: EM Algorithm Applicated to Parameter Estimation for Gaussian Mixture
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Size: 1024 |
Author: 李致賢 |
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Description: 高斯混合模型参数估计,EM算法,sunMOG.m为函数,testMOG4.m为测试程序-Gaussian mixture model parameter estimation, EM algorithm, sunMOG.m for the function, testMOG4.m for the test procedure
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Size: 1024 |
Author: junsun |
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Description: 模式识别相关技术，EM算法简介，EM算法是关于半监督学习的一种技术-Pattern recognition technology, EM algorithm About, EM algorithm is on a semi-supervised learning techniques
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Size: 123904 |
Author: lulu |
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Description: EM分群,matlab程式碼,用來分群用的-EM clustering, matlab code for the grouping used
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Size: 103424 |
Author: 周珀宣 |
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Description: ％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ 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 likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％- 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 likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates
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Size: 3072 |
Author: Shaoqing Yu |
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Description: 用matlab实现的kmeans算法，是一个后台程序，没有调用其本身的kmeans算法，挺不错的-Using matlab to achieve kmeans algorithm, is a background process, not to call its own kmeans algorithm, very good
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Size: 1024 |
Author: 尹梓名 |
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Description: 附件中的m代码包括了一系列的拟合函数，这些函数通常的输入是概率分布的样本。还有最大似然估计仿真器、最小平方仿真器、混合高斯分布估计的EM算法、-M in the annex to the code, including a series of fitting function, which function normally is the probability distribution of input samples. There are maximum likelihood estimation simulator, emulator least squares, mixed-Gaussian distribution is estimated that the EM algorithm,
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Size: 68608 |
Author: liyuedsg |
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Description: matlab 下em算法 ma tlab 下em算法 matlab 下em算法-em algorithm matlab under ma tlab under the em algorithm under the em algorithm matlab
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Size: 11264 |
Author: chenhuixing |
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Description: 图像识别的matlab程序，其中包含EP，EM-EP算法等。很有参考价值。-Matlab image recognition process, which includes EP, EM-EP algorithm. Useful reference value.
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Size: 843776 |
Author: asdasdasd |
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