搜索资源列表
gmm
- MATLAB编写的用于实现最大期望的算法,-EM algorithm
RPEM_Source_Code
- RPEM算法在聚类分析中比EM算法更好效果。-RPEM algorithm in clustering analysis of better results than EM algorithm.
TextCla
- 支持向量机和EM最大熵文本分类算法,压缩包中包括了测试文本词典,停用词表等-Support vector machines and EM maximum entropy text classification algorithm, compressed package includes a test text dictionary, stop word table
EM_homework
- 计算电磁学大作业 EM形式电磁波传播的仿真研究 电磁学算法研究-Computational electromagnetics operations EM forms of electromagnetic wave propagation simulation study electromagnetism algorithm
clustering
- 一种基于期望最大化( E M) 算法的局部图像特征的语义提取方法。首先提取图像的局部图像特 征, 统计特征在视觉词汇本中的出现频率, 将图像表示成词袋模型; 引入文本分析中的潜在语义分析技术建立从低层图像 特征到高层图像语义之间的映射模型; 然后利用 E M 算法拟合概率模型, 得到图像局部特征的潜在语义概率分布; 最后利 用该模型提取出的图像在潜在语义上的分布来进行图像分析和理解。-Latent Semantic probability distribution using the EM
top_ten_classical_algorithm
- 机器学习中十大经典算法,其中包括adaboost、pagerank、EM等算法,希望对研究机器学习的朋友有帮助-Machine learning in the top ten classical algorithm, including adaboost, pagerank, the EM algorithm, friend of machine learning
10-da--suanfa
- 讲述了最著名的十大数据挖掘算法,经典资料,国际权威的学术组织the IEEE International Conference on Data Mining (ICDM) 2006年12月评选出了数据挖掘领域的十大经典算法:C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.-About the top ten most famous data mining algorithms, the
Diverse-Density
- 多样性密度算法,EM-DD算法,最好的多示例学习算法之一,MATLAB实现.-Diverse density algorithm, EM-DD algorithm, one of the best multi-instance learning algorithm, MATLAB.
dataming
- 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料,以找出不同的客户或市场划分,分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006:
EMCluster
- EM高斯混合多变量模型聚类算法,直接可以运行-EM Gaussian mixture model clustering algorithm, and can be run directly
MCALabWithUtilities.tar
- MCA图像修复,包含MCA和EM图像修复算法-MCA inpainting
1
- 该文章用反卷积算法计算GSM和UMTS基站的电磁场辐射量,此方法可以消除噪声的影响,使得测量结果更精确。-In this paper, we present a new robust, fast, and accu- rate deconvolution algorithm for correcting noise disturbed mea- surements and eliminating the influence of the resolution filter of a
multiScale_KalmanFilter
- 用多尺度卡尔曼滤波法,对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this impleme
CN_fdtd_3d_pml
- 介绍一种结合CN-FDTD方法和UPML的新算法,它能以较高的精度解决3维电磁散射问题。-this code contains a new algorithm that combines CN-FDTD and UPML which can result in low computing dispersion in solving EM problems.
EMforTVAR
- 基于期望最大迭代算法的对时变AR模型的卡尔曼平滑估计-EM Algorithm for Time-varying AR model
A-Watermarking-Algorithm(MATLAB)--
- 盲水印提取时不需要参考原始载体图像,在信息隐藏、版权保护等方面具有更广泛的应用前景。提出的盲水印算法在分块离散余弦变换(DCT)和离散小波变换(DWT)的基础上,利用关系双方DCT系数和DWT系数在受到攻击时具有相同变化趋势的特点,采用关系嵌入和量化嵌入的自适应选择嵌入策略,较大幅度地提高了盲水印提取的鲁棒性。同时在量化嵌入中采用抖动调制,实现了水印透明性和鲁棒性调节的便捷性。大量仿真实验结果表明该算法对噪声干扰、低通滤波、JPEG压缩、对比度增强等攻击有很好的鲁棒性和透明性。关键词 数字水印盲
MachineLearning
- 机器学习的十大算法,AdaBoost,Apriori,CART,EM,K-means,kNN,PageRank,SVM-Ten machine learning algorithms, AdaBoost, Apriori, CART, EM, K-means, kNN, PageRank, SVM
machine-learning-3
- 机器学习算法之EM与K-MEANS,经典的机器学习的外文资料,该资料描述详细,便于大家的学习。-The EM machine learning algorithms with K-MEANS, classical machine learning foreign language information, the information described in detail, easy to learn from everyone.
GMM
- 通过应用matlab实现高斯算法,用EM估计GMM的数据参数,并把运算时其遗漏数据补全-Matlab achieved through the application of Gauss algorithm estimates GMM data parameters EM, and the missing data when computing its complement
EM_Algorithm
- 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.