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Euclidean distance

Known as: Euclidean metric, Euclidean, Euclidian distance 
In mathematics, the Euclidean distance or Euclidean metric is the "ordinary" (i.e. straight-line) distance between two points in Euclidean space… Expand
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Papers overview

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Review
2016
Review
2016
This is an expository paper on the theory of gradient flows, and in particular of those PDEs which can be interpreted as gradient… Expand
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Review
2016
Review
2016
In this paper, we tackle the issue of clustering trajectories of geolocalized observations based on the distance between… Expand
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Highly Cited
2009
Highly Cited
2009
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the… Expand
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Highly Cited
2004
Highly Cited
2004
Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has… Expand
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Highly Cited
2004
Highly Cited
2004
The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer… Expand
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Highly Cited
2003
Highly Cited
2003
A sequential algorithm is presented for computing the exact Euclidean distance transform (DT) of a k-dimensional binary image in… Expand
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Highly Cited
1997
Highly Cited
1997
Instance-based learning techniques typically handle continuous and linear input values well, but often do not handle nominal… Expand
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Highly Cited
1995
Highly Cited
1995
Two linear time (and hence asymptotically optimal) algorithms for computing the Euclidean distance transform of a two-dimensional… Expand
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Highly Cited
1994
Highly Cited
1994
Abstract In this paper, we propose a new method to obtain the Euclidean distance transformation and the Voronoi diagram based on… Expand
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Highly Cited
1980
Highly Cited
1980
Based on a two-component descriptor, a distance label for each point, it is shown that Euclidean distance maps can be generated… Expand
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