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Description: 非常好的EM算法介绍,不妨去看看.The Expectation Maximization Algorithm
A short tutorial
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Size: 83721 |
Author: stephen |
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Description: 非常好的EM算法介绍,不妨去看看.The Expectation Maximization Algorithm
A short tutorial-Very good introduction EM algorithm, may wish to go and see. The Expectation Maximization AlgorithmA short tutorial
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Size: 82944 |
Author: stephen |
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Description: EM 算法和相关的统计模型,是很不错的一本外文书籍,对学习统计和模式识别方面的人很有帮助的。-EM algorithm and related statistical models, is a very good one foreign language books, statistics and pattern recognition for learning in people very helpful.
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Size: 5258240 |
Author: 留洋 |
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Description: 有关EM算法的经典文章,都是国外大牛的创新大作
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Size: 17675264 |
Author: wang wang |
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Description: Good tutorial for Expectation maximization algorithm
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Size: 83968 |
Author: woody |
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Description: EM algorithm is to solute the problem of parameter maximum likelihood estimation by Dempster, Laind, Rubin in 1977. The EM algorithm can estimate maximum likelihood only through incomplete data set.
-EM algorithm is to solute the problem of parameter maximum likelihood estimation by Dempster, Laind, Rubin in 1977. The EM algorithm can estimate maximum likelihood only through incomplete data set.
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Size: 1024 |
Author: hporange |
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Description: em算法的matlab实现,简单适合入门,可以参考-em algorithm matlab implementation, simple for entry, refer to
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Size: 3072 |
Author: nebula |
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Description: EM algorithm 讲的非常好和详细 不可多得的好资料-em algorithm which is worth reading
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Size: 88064 |
Author: 王龙 |
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Description: EM算法详解,对于函数参数的估计十分有用的啊-The EM algorithm Detailed function parameters estimated useful ah
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Size: 82944 |
Author: 倪昊 |
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Description: 介绍期望最大算法基本原理及聚类实现,可以很好的对多个高斯概率密度分布进行分类-Introduces the basic principle and expectation maximization clustering algorithm to achieve, can be good for multiple Gaussian probability density distribution of the classification
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Size: 203776 |
Author: zm |
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Description: 混合高斯背景建模的EM估计算法,是一篇英文资料,希望对大家有帮助。-EM estimation algorithm for Gaussian mixture background modeling, is an English data, we want to help.
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Size: 93184 |
Author: lijie |
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Description: EM算法,高斯混合模型的算法,很实用.里面附有很全的代码,包括实例-Author : Shujaat Khan
Data Entry
Step 1 : Initial guess
Step 2 : Expectation Step computes the responsibilities
Step 3 : Maximization Step compute the weighted means and variances
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Size: 28672 |
Author: 梁银林 |
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Description: It belongs to the EM segmentation
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Size: 3072 |
Author: yubraj1
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