搜索资源列表
EM_Algorithm_for_Clustering
- 期望最大化算法。MALAB编写。应用用模式识别。-expectation maximization algorithm. MATLAB prepared. Application of pattern recognition.
EM_algorithm
- 非常好的EM算法介绍,不妨去看看.The Expectation Maximization Algorithm A short tutorial
AIM
- NIPS2006论文“Saliency based on Information Maximization”的源码，用于显著图计算，作者是N. Bruce 和 J.Tsotsos -a code for "Saliency based on Information Maximization",N. Bruce &J.Tsotsos ,NIPS,2006
EMimagesegment
- 基于em算法的图象分割程序,是图象分割的一类重要算法.-Em algorithm based on image segmentation process of image segmentation are essential for a class of algorithms.
GaussMRFandEMofImageSegmentation
- 2008年3月 中国图象图形学报 基于类自适应高斯-马尔可夫随机场模型和EM 算法的MR图像分割 比较新的一片关于MARKOV以及EM算法的图像分割的文章。详细介绍了两种算法，以及对MR图像的实验结果，很有参考价值-March 2008 Journal of Image and Graphics of China based on the type of adaptive Gaussian- Markov random field model and the EM algorithm
EmManual.odt.tar
- This is a manual for expectation maximization algorithm
max_sin
- maximization of sinx using in genetic algorithms
Expectation-maximization
- 用IDL与ENVI 进行非监督分类的maximation算法，简单实用，功能强大-Use IDL and ENVI maximation non-supervised classification algorithms, simple, practical, powerful
ECC-image-alignment-algorithm
- 应用增强的相关系数（ECC）进行图像配准，是发表在2008年PAMI上的文章源码。-This is a Matlab implementation for the forwards additive version of ECC image alignment algorithm based on the paper "G.D. Evangelidis, E.Z. Psarakis, Parametric Image Alignment using Enhanced Correlation Co
tuxiangpeizhun
- 基于互信息的图像配准方法，用最大互信息对两张图片进行配准，得到他们相同的部分并以此为结果显示-Based on mutual information image registration by maximization of mutual information on the two pictures, registration, and get them the same part and the results show that
CT_Recowith_EMPTV
- Using Expectation Maximization & Total Variation(EM+TV) BY USING phantom Data to reconstruction of the ct images
osem1
- 图像重建_有序子集最大期望值法，理论研究-Image reconstruction _ ordered subset expectation maximization, theoretical research
AIM
- 一个基于信息最大化生成显著图的程序对于彩色或红外图像都有很好的效果-Based information maximization generate significant chart program has a good color or infrared image effect
MriSeg
- MRI 脑组织参数估计与分割。此程序用两种方法——Kmeans和期望最大化EM对比对MRI脑组织进行分割和参数估计-The MRI parameter estimation and segmentation of brain tissue. This program on MRI brain tissue segmentation and parameter estimation using two methods-- Kmeans and expectation maximization EM
Moving-target-detection
- 基于最大互信息运动目标检测确认其为人邢可耕地-Moving target detection based on the maximization of mutual information
5
- 了适应跟踪过程中目标光照条件的变化，并对目标特征进行在线更新，提出一种将局部二元模式(LBP) 特征与图像灰度信息相融合，同时结合增量线性判别分析对目标进行跟踪的算法．跟踪开始前，为了获得比较准确的目标描述，使用混合高斯模型和期望最大化算法对目标进行分割；跟踪过程中，通过蒙特卡罗方法对目标区域和背景区域进行采样，并更新特征空间参数．得到目标和背景的最优分类面；最后使用粒子滤波器结合最优分类面对目标状态进行预测．通过光照变化的仿真视频和自然场景视频的跟踪实验，验证了文中算法的有效性．-Trac
EM_Algorithm_for_Clustering
- 期望最大化算法。MALAB编写。应用用模式识别。-expectation maximization algorithm. MATLAB prepared. Application of pattern recognition.
cvpr01_zollei1109
- 医学图像配准，医学图像2D_3D配准，基于vc++开发。-The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedi
MNF
- MNF是一种多元线性统计变换方法，MNF变换的基本思想就是通过构造原始观测数据各分量的线性组合，将观测数据中包含的信号与噪声两部分尽可能分离，使得线性映射变量的信噪比最大化。MNF变换本质上含有两次叠置处理的主成分分析变换。-MNF is a statistical multiple linear transformation method, the basic idea is the MNF transform raw observations by constructing a linear
1EMalgorithm
- 利用期望最大化聚类算法，从txt文件中读如200+个点的坐标，并将这些点尽心聚类。开发环境为opencv+vs2010-Expectation Maximization clustering algorithm, txt file read coordinates 200+ points, and these points dedicated cluster. opencv+ vs2010