搜索资源列表
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
ithm
- 圖形分類,增加影像解析度,以EM algorithm開發-Graphic classification, increasing image resolution, in order to develop EM algorithm
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!
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
Lecture13
- EM algorithm for adaptive multivariate Gaussian mixtures
gmm_em_graphcut
- EM algorithm for adaptive multivariate Gaussian mixtures
lec12
- EM algorithm for adaptive multivariate Gaussian mixtures
Documentation-fixed
- EM algorithm for adaptive multivariate Gaussian mixtures
LM
- Levenberg-Marqardt最优迭代算法-Levenberg-Marqardt optimal iterative algorithm
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
Version7.1.5out
- GUI for an Expectation-Maximization algorithm (EM) variant (Split-EM-Discriminant)
emfusion
- 基于EM算法的图像融合算法，对图像不用进行多尺度分解。-EM algorithm based on image fusion algorithm for multi-scale image without decomposing.
EMShiftDemo10_17
- EM shift 算法的论文和matlab实现。具有很高的学习价值-EM shift algorithm, and matlab implementation of papers. High learning value
EMShiftDemo
- 利用EM算法结合颜色直方图的目标跟踪，利用EM算法实时更新颜色直方图-Using EM algorithm combines the color histogram for target tracking, real-time updates using EM algorithm color histogram
em
- 有k_means和em算法,k_means算法用来减少结点数目-There k_means and em algorithms, Reduce the number of data points using the k-means algorithm
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam