文件名称:gaosi
介绍说明--下载内容均来自于网络,请自行研究使用
高斯混合模型,概率统计知识,用于图像处理-Gaussian mixture model, probability and statistics knowledge, used in image processing
(系统自动生成,下载前可以参看下载内容)
下载文件列表
高斯混合模型程序\1gmm\eStep.m
................\....\estimateMU.m
................\....\estimatePX.m
................\....\estimateZIGMA2.m
................\....\gmm.m
................\....\pyx.m
................\gmm_prob\gmm_prob\gmmactiv.m
................\........\........\gmmpost.m
................\参数估计EMalgorithmforMOG\sunMOG.m
................\.........................\testMOG4.m
................\视频检测GMM\GMM_高斯多模型_高斯混合模型\adaptive_video.m
................\...........\...........................\best_background_image.m
................\...........\...........................\display_result.m
................\...........\...........................\foreground_objects.m
................\...........\...........................\framedifference_video.m
................\...........\...........................\GMM_images.m
................\...........\...........................\GMM_video.m
................\...........\...........................\load_data.m
................\...........\...........................\mixture_parameters.m
................\...........\...........................\segment_image.m
................\...........\...........................\update_mixture_params.m
................\高斯混合模型GMM-EM\高斯混合模型的EM算法的源程序代码\参考源程序代码\cha.m
................\..................\................................\..............\data1.m
................\..................\................................\..............\data2.m
................\..................\................................\..............\Gao.m
................\..................\................................\..............\junzhi.m
................\..................\................................\..............\main.m
................\..................\................................\..............\Out.asv
................\..................\................................\..............\Out.m
................\..................\................................\..............\xie_matrix.m
................\..................\................................\..............\Z.m
................\..................\................................\..............\Z_matrix.m
................\..................\................................\..............\运行的结果.txt
................\..................\................................\实验报告.doc
................\..................\................................\封面.doc
................\..................\................................\源程序代码\cha.m
................\..................\................................\..........\data1.m
................\..................\................................\..........\data2.m
................\..................\................................\..........\Gao.m
................\..................\................................\..........\junzhi.m
................\..................\................................\..........\main.m
................\..................\................................\..........\Out.m
................\..................\................................\..........\xie_matrix.m
................\..................\................................\..........\Z.m
................\..................\................................\..........\Z_matrix.m
................\..................\................................\..........\运行的结果.txt
................\..................\................................\参考源程序代码
................\..................\................................\源程序代码
................\gmm_prob\gmm_prob
................\视频检测GMM\GMM_高斯多模型_高斯混合模型
................\高斯混合模型GMM-EM\高斯混合模型的EM算法的源程序代码
................\1gmm
................\gmm_prob
................\参数估计EMalgorithmforMOG
................\视频检测GMM
................\高斯混合模型GMM-EM
高斯混合模型程序