2012
DOI: 10.1007/978-3-642-31155-0_8
|View full text |Cite
|
Sign up to set email alerts
|

A Simple Framework for the Generalized Nearest Neighbor Problem

Abstract: The problem of finding a nearest neighbor from a set of points in R d to a complex query object has attracted considerable attention due to various applications in computational geometry, bio-informatics, information retrieval, etc. We propose a generic method that solves the problem for various classes of query objects and distance functions in a unified way. Moreover, for linear space requirements the method simplifies the known approach based on ray-shooting in the lower envelope of an arrangement.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2012
2012
2013
2013

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 22 publications
0
1
0
Order By: Relevance
“…Unlike the previously used approach to studying such diagrams, based on the concept of duality between points and lines in the plane, our ideas extend to the three-dimensional case, in which a Voronoi diagram of a set of points in the space of all planes is examined, and generalize further to higher dimensions. Though these Voronoi structures are unlikely to allow for a more efficient processing of the nearest neighbor queries than by the existing methods (see [3], [6], [8] for two-dimensional case, [7] for three-dimensional case, and a very recent work [5] for a novel general framework), our results may help to develop a better intuition in regard of their properties, and to admire their inherent beauty.…”
Section: Discussionmentioning
confidence: 87%
“…Unlike the previously used approach to studying such diagrams, based on the concept of duality between points and lines in the plane, our ideas extend to the three-dimensional case, in which a Voronoi diagram of a set of points in the space of all planes is examined, and generalize further to higher dimensions. Though these Voronoi structures are unlikely to allow for a more efficient processing of the nearest neighbor queries than by the existing methods (see [3], [6], [8] for two-dimensional case, [7] for three-dimensional case, and a very recent work [5] for a novel general framework), our results may help to develop a better intuition in regard of their properties, and to admire their inherent beauty.…”
Section: Discussionmentioning
confidence: 87%