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EmdL1_v2
- 这是一个对于L2范数下的Earth Mover Distance的VC实现。
emd
- earth mover s distance
emd_1
- Earth Mover Distance
FastEMD-1.1
- The code efficiently computes the Earth Mover s Distance (EMD) between two histograms or sparse histograms (signatures). The EMD is also known as Mallows, 1st Wasserstein, Monge-Kantorovich, Match and Transporatation distances. The approach was descr
emdC
- it is a program to calculate the earth mover s distance using c to implement it.
emd
- EMD(Earth Mover s Distance) Earth Mover s Distance(EMD)是由Rubner等人所提出用於影像搜 寻之上,当特徵间(bin与bin)的距 可以使用ground distance求得时, 用 Earth Mover s Distance做相似 计算可以得到较好的结果. -EMD (Earth Mover' s Distance) Earth Mover' s Distance (EMD) is proposed b
EMD
- EARTH MOVER DISTANCE CODE
earth-mover-s-distance
- 用与视频追踪,你懂得 好货 一种基于clear 模型的-With the video track, you know how good the goods
emd-2005-02
- EMD(earth mover distance)-EMD(earth mover distance)
ma
- 一个matlab工具包,支持MFCC,Sone,Fluctuation Pattern等音频特征的提取,以及Earth Mover Distance等与音乐相似计算有关的算法-The MA Toolbox is a collection of functions for Matlab 6 or higher. It contains functions to analyze music (audio) and compute similarities.
Earth-Movers-Distance(EMD)
- 这里介绍的是一种直方图的比较方法。EMD算法,这里不同于我们熟知的目标检测算法,这里EMD的全称是Earth Mover s Distance,即陆地移动距离,是一种度量准则。光线变化能引起颜色直方图的漂移,引起颜色值位置发生变化,这时候一些直方图的比较匹配策略失效。EMD算法本身是一个通用的算法,它实际上度量的是怎样讲一个直方图的形状转变为另一个直方图的形状,包括直方图的部分(或全部)到一个新的位置,可以在直方图任何维的直方图上进行这种度量。 有关EMD陆地移动距离的具体内容可参考:Lea
SiftDistance
- 改进SIFT匹配的直方图距离,用于计算描述子之间直方图距离-A Linear Time Histogram Metric for Improved SIFT Matching, Earth Mover’s Distance (EMD)
ecai2010-code(1)
- Fast Earth Mover s Distance similarity matrix calcutation
EMD_Earth-Movers-Distance
- 一种计算EMD(Earth Mover s Distance)优化问题的方法,用matlab实现。含有解释文档-An effective method to solve EMD (Earth Mover s Distance) optimal questions matalb codes, including a introducing word doc.
EMD_MAT
- 在计算机科学与技术中,地球移动距离(EMD)是一种在D区域两个概率分布距离的度量,就是被熟知的Wasserstein度量标准。不正式的说,如果两个分布被看作在D区域上两种不同方式堆积一定数量的山堆,那么EMD就是把一堆变成另一堆所需要移动单位小块最小的距离之和。-In computer science, the earth mover s distance (EMD) is a measure of the distance between two probability distributio