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An RNG-based heuristic for curve reconstruction

Authors: Asish Mukhopadhyay; Augustus Das;

An RNG-based heuristic for curve reconstruction

Abstract

In this paper we propose an RNG-based heuristic for curve reconstruction. Given a set of n sample points S, we first construct a Relative Neighbourhood Graph on S, which is shown to contain all edges joining adjacent points on the unknown curve for an \in -sample with \in \lt 1/5. Next, we use a heuristic to remove non-adjacent edges. It is extremely simple and works remarkably well for sample points drawn from a large variety of curves.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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