搜索资源列表
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
PR_AI_code
- 这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognitio
xml_toolbox-3.2.1-matlab-7.0-R14
- 高斯混合模型的matlab的实现，但是不包含em算法在里面，但是有版权，注意阅读内容-Gaussian mixture model of the matlab implementation, but does not include the em algorithm inside, but has the copyright and pay attention to read the content
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
circleGS
- GS算法的matlab例子，本例子仿真了一个圆形的光环结构，其它的参数见matlab中的注释-GS algorithm matlab example, the example of simulation of a circular ring structure, and other parameters, see the Notes matlab
gafuzzymatlab
- 模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集 -Simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures
emc
- 此源码可用与隐马氏模型估计参数时的EM算法。此源码在C++中运行。-This source can be estimated with the Hidden Markov Model parameters of the EM algorithm. This source code in C++ in the running.
fanshuchongjian
- 此算法是CT中经典的EM算法，经过验证算法没有错误，能很好的运行。-CT in this algorithm is the classic EM algorithm, there is no proven algorithm error, can run very good.
GS
- 实现网格中含有依赖任务调度的GS算法，其中根据任务在各个机器上的执行时间和任务之间的依赖关系来计算出任务的调度顺序-The realization of the grid containing the GS-dependent task scheduling algorithm, in which the task in accordance with the implementation of the various machines on time and task-dependent re
08gmm
- GMM很好的理论资料,对高斯模型的详细描述以及EM算法的介绍。对编程有一定的帮助。-This is for the initial researcher to study about the GMM Model.
EM_baumWelch
- 采用Baum-Welch重估计算法对隐马尔科夫模型进行训练，使得结果达到最优化-Using Baum-Welch re-estimation algorithm for training hidden Markov models, making the results of optimized
EMsf
- 关于EM算法的详细介绍，可以帮助初学者深入理解EM的来源及使用方法。-A detailed descr iption on the EM algorithm that can help beginners in-depth understanding of the source and use of EM methods.
EM
- Deleted interpolation 算法， 综合了trigram, bigram, unigram 模型的一总简单的线性插值-deleted interpolation algorithm, mixed trigram, bigram, unigram model, and using simple linear interpolation
EMalgorithm
- 详细介绍了EM算法的推到及使用，是学习图像处理，图像分割的一篇经典。-Details of the EM algorithm is pushed to and use of learning image processing, image segmentation of a classic.
GaussianMixtureModels
- GMM Model Gaussian Mixture Models - Algorithm and Matlab Code-GMM Model!
LM
- Levenberg-Marqardt最优迭代算法-Levenberg-Marqardt optimal iterative algorithm
53607931emc
- 用c++编写的em算法的实现,运行于vc2008环境下，有助于大家的学习-c++source
Bayes_EM
- 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection
ga
- 遗传算法是弥补了EM算法的缺点，是现在比较流行的一种利用迭代计算全局最优值的一种算法。遗传算法是借鉴了自然遗传学，因此它们的基本思想是想通的。-Genetic algorithm is made up for the shortcomings of EM algorithm, is now more popular means of a global optimum value of iterative calculation algorithm. Genetic algorithm is bo
MixtGaussian
- 这是基于em算法混合高斯模型参数的估计方法，用matlab开发的，看一遍程序就会明白了。-mixture Gauss estimation