Earth Mover's Distance (EMD) reflects the minimal amount of work that must be performed to transform one distribution into the other by moving distribution mass around. Very efficient algorithms for calculating the EMD exist. In our experiments we have used an algorithm proposed by Rubner et al. Without going into details about the EMD and its implementation an intuitive view of the EMD is as follows:Given two distributions, one can be seen as a mass of earth properly spread in space, the other as a set of holes in that same space. Assuming that there is always at least as much earth as needed to fill all the holes (this can be achieved by switching what is called earth or holes if necessary), the EMD gives a measure of the least amount o...
We introduce a novel method for computing the earth mover’s dis-tance (EMD) between probability dist...
The earth mover's distance (EMD) is a measure of the distance between two distributions, and it has ...
Earth Mover's Distance (EMD), targeting at measuring the many-to-many distances, has shown its super...
Earth Mover's Distance (EMD) reflects the minimal amount of work that must be performed to transform...
Abstract. The Earth Mover Distance (EMD) between point sets A and B is the minimum cost of a biparti...
The Earth Mover’s Distance (EMD) is a distance measure between distributions with applications in im...
The Earth Mover Distance (EMD) between two equal-size sets of points in R d is defined to be the min...
We introduce a metric between two distributions that we call the Earth Mover's Distance (EMD). ...
Earth mover\u27s distance (EMD for short) is a perceptually meaningful dissimilarity measure between...
International audienceThere are many measures of dissimilarity that, depending on the application, d...
AbstractThe Earth Mover's Distance (EMD) between two weighted point sets (point distributions) is a ...
We introduce a new distance between two distributions that we call the Earth Mover’s Distance (EMD),...
International audienceEarth mover's distance is one of the most effective metric for comparing histo...
Earth Mover's Distance (EMD), as a similarity measure, has received a lot of attention in the fields...
Given two distributions $P$ and $S$ of equal total mass, the Earth Mover's Distance measures the cos...
We introduce a novel method for computing the earth mover’s dis-tance (EMD) between probability dist...
The earth mover's distance (EMD) is a measure of the distance between two distributions, and it has ...
Earth Mover's Distance (EMD), targeting at measuring the many-to-many distances, has shown its super...
Earth Mover's Distance (EMD) reflects the minimal amount of work that must be performed to transform...
Abstract. The Earth Mover Distance (EMD) between point sets A and B is the minimum cost of a biparti...
The Earth Mover’s Distance (EMD) is a distance measure between distributions with applications in im...
The Earth Mover Distance (EMD) between two equal-size sets of points in R d is defined to be the min...
We introduce a metric between two distributions that we call the Earth Mover's Distance (EMD). ...
Earth mover\u27s distance (EMD for short) is a perceptually meaningful dissimilarity measure between...
International audienceThere are many measures of dissimilarity that, depending on the application, d...
AbstractThe Earth Mover's Distance (EMD) between two weighted point sets (point distributions) is a ...
We introduce a new distance between two distributions that we call the Earth Mover’s Distance (EMD),...
International audienceEarth mover's distance is one of the most effective metric for comparing histo...
Earth Mover's Distance (EMD), as a similarity measure, has received a lot of attention in the fields...
Given two distributions $P$ and $S$ of equal total mass, the Earth Mover's Distance measures the cos...
We introduce a novel method for computing the earth mover’s dis-tance (EMD) between probability dist...
The earth mover's distance (EMD) is a measure of the distance between two distributions, and it has ...
Earth Mover's Distance (EMD), targeting at measuring the many-to-many distances, has shown its super...