文件名称:gaosi
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [C/C++] [Windows] [Visual C] [源码]
- 上传时间:
- 2015-12-14
- 文件大小:
- 27mb
- 下载次数:
- 0次
- 提 供 者:
- 陈*
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
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高斯混合模型算法实现c++,高斯混合模型就是用高斯概率密度函数(正态分布曲线)精确地量化事物,它是一个将事物分解为若干的基于高斯概率密度函数(正态分布曲线)形成的模型-Gaussian mixture model algorithm c++, Gaussian mixture model is a Gaussian probability density function (normal distribution curve) to accurately quantify things, it is a model based on the decomposition of things Gaussian probability density function (normal distribution curve) is formed of a plurality of
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下载文件列表
高斯混合模型\08gmm.pdf
............\GMM\GMM\alloc_util.c
............\...\...\alloc_util.h
............\...\...\classify.c
............\...\...\classify_util.c
............\...\...\classify_util.h
............\...\...\clust_defs.h
............\...\...\clust_invert.c
............\...\...\clust_io.c
............\...\...\clust_io.h
............\...\...\clust_util.c
............\...\...\clust_util.h
............\...\...\eigen.c
............\...\...\invert.c
............\...\...\SplitClasses.c
............\...\...\subcluster.c
............\...\...\subcluster.h
............\...\GMM.C
............\...\GMM.H
............\...\manual.pdf
............\GMM建模与EM算法.ppt
............\...高斯混合模型 VC\alloc_util.cpp
............\..................\alloc_util.h
............\..................\classify_util.cpp
............\..................\classify_util.h
............\..................\clust.cpp
............\..................\clust.h
............\..................\clust_defs.h
............\..................\clust_invert.cpp
............\..................\clust_io.cpp
............\..................\clust_io.h
............\..................\clust_util.cpp
............\..................\clust_util.h
............\..................\Debug\alloc_util.obj
............\..................\.....\CL.read.1.tlog
............\..................\.....\CL.write.1.tlog
............\..................\.....\classify_util.obj
............\..................\.....\clust.obj
............\..................\.....\clust_invert.obj
............\..................\.....\clust_io.obj
............\..................\.....\clust_util.obj
............\..................\.....\eigen.obj
............\..................\.....\GMM_Lib_New.lastbuildstate
............\..................\.....\GMM_Lib_New.lib
............\..................\.....\GMM_Lib_New.log
............\..................\.....\GMM_Lib_New.pch
............\..................\.....\GMM_Lib_New.write.1.tlog
............\..................\.....\invert.obj
............\..................\.....\Lib-link.read.1.tlog
............\..................\.....\Lib-link.write.1.tlog
............\..................\.....\StdAfx.obj
............\..................\.....\subcluster.obj
............\..................\.....\vc100.idb
............\..................\.....\vc100.pdb
............\..................\eigen.cpp
............\..................\gmm_lib.h
............\..................\GMM_Lib_New.dsp
............\..................\GMM_Lib_New.dsw
............\..................\GMM_Lib_New.ncb
............\..................\GMM_Lib_New.opt
............\..................\GMM_Lib_New.plg
............\..................\GMM_Lib_New.sdf
............\..................\GMM_Lib_New.sln
............\..................\GMM_Lib_New.suo
............\..................\GMM_Lib_New.vcxproj
............\..................\GMM_Lib_New.vcxproj.filters
............\..................\GMM_Lib_New.vcxproj.user
............\..................\invert.cpp
............\..................\.pch\gmm_lib_new-85425026\gmm_lib_new-799416d6.ipch
............\..................\Readme.txt
............\..................\..lease\GMM_Lib_New.lib
............\..................\StdAfx.cpp
............\..................\StdAfx.h
............\..................\subcluster.cpp
............\..................\subcluster.h
............\..................\ipch\gmm_lib_new-85425026
............\...\GMM
............\...高斯混合模型 VC\Debug
............\..................\ipch
............\..................\Release
............\GMM
............\GMM高斯混合模型 VC
高斯混合模型