The Earth Mover's Distance (EMD) is a similarity measure successfully applied to multidimensional distributions in numerous domains. Although the EMD yields very effective results, its high computational time complexity still remains a real bottleneck. Existing approaches used within a filter-and-refine...
This implementation is based on "The Earth Mover's Distance as a Metric for Image Retrieval", Y. Rubner, C. Tomasi and L. Guibas, International Journal of Computer Vision, 40(2), pp. 99-121, 2000.emd ---> computes the earth mover's distance between two signatures ...
The Earth Mover’s Distance 101 distributions that have the same overall mass, the EMD is a true metric. In this paper we focus on applications of the EMD to color and texture images. In the next section, we introduce histograms and survey some of the existing measures of dissimilarity and...
The Earth Mover's Distance The EMD is based on the minimal cost that must be paid to transform one distribution into the other.Intuitively,given two distributions,one can be seen as a mass of earth properly spread in space,the other as a collection of holes in that same space.Then,the E...
The Earth Mover's Distance The EMD is based on the minimal cost that must be paid to transform one distribution into the other.Intuitively,given two distributions,one can be seen as a mass of earth properly spread in space,the other as a collection of holes in that same space.Then,the ...
We give the name of Earth Mover’s Distance (EMD), suggested by Stol? (1994), to this metric in this new context. The transportation problem is to ?nd the minimal cost that must be paid to transform one distribution into the other. The EMD is based on a solution to the transportation...
In this work, by combining the microcolumn isoelectric focusing (mIEF) and similarity analysis with the earth mover’s distance (EMD) metric, we proposed the concept of isoelectric point (pI) barcode for the identification of species origin of raw meat. At first, we used the mIEF to analyze...
The Earth Mover's Distance (EMD) is a robust similarity measure between two histograms (e.g., probability distributions). It has been extensively used in a wide range of applications, e.g., multimedia, data mining, computer vision, etc. As EMD is a computationally intensive operation, many...
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric - GitHub - 717ct/pyemd: Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
PyEMD: Fast EMD for Python PyEMD is a Python wrapper forOfir Pele and Michael Werman's implementationof theEarth Mover's Distancethat allows it to be used with NumPy.If you use this code, please cite the papers listed at the end of this document. ...