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Event Entry

What and Who

Nearest neighbour searching in metric spaces

Michiel Hagedoorn
Max-Planck-Institut für Informatik - AG 1
AG1 Mittagsseminar (others' work)
AG 1  
AG Audience
English

Date, Time and Location

Friday, 17 November 2000
13:30
30 Minutes
MPI
024
Saarbrücken

Abstract

Nearest neighbour searching (NNS) problems have been receiving a lot

of attention from computational geometers during the last ten years.
An optimal algorithm has been found for the approximate NNS problem
in finite-dimensional Euclidean space (R^d).
In addition, results are starting to appear for the NNS problem
in metric spaces other than R^d.
Results of this type may lead to faster methods for content-based
image retrieval.

Contact

Michiel Hagedoorn
+49 681 9325 128
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Tags, Category, Keywords and additional notes

nearest neighbour; metric spaces; image retrieval; computational geometry