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Cited by 405

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Bounded geometries, fractals, and low-distortion embeddings

Open access
Gupta, A., Krauthgamer, R., Lee, J.R.·2004·44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings.

Abstract

The doubling constant of a metric space (X, d) is the smallest value /spl lambda/ such that every ball in X can be covered by /spl lambda/ balls of half the radius. The doubling dimension of X is then defined as dim (X) = log/sub 2//spl lambda/. A metric (or sequence of metrics) is called doubling precisely when its doubling dimension is bounded. This is a robust class of metric spaces which contains many families of metrics that occur in applied settings. We give tight bounds for embedding doubling metrics into (low-dimensional) normed spaces. We consider both general doubling metrics, as well as more restricted families such as those arising from trees, from graphs excluding a fixed minor, and from snowflaked metrics. Our techniques include decomposition theorems for doubling metrics, and an analysis of a fractal in the plane according to T. J. Laakso (2002). Finally, we discuss some applications and point out a central open question regarding dimensionality reduction in L/sub 2/.

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Metadata

Authors
Gupta, A., Krauthgamer, R., & Lee, J. R.
Venue
44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings.
Published
2004-03-01
Pages
534-543
ISSN
0272-5428 (ISSN-L)
OpenAlex
W2127248062
Cited by
405
References
1
FWCI
54.25
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Bounded geometries, fractals, and low-distortion embeddings. https://app.cochat.ai/papers/10.1109/sfcs.2003.1238226
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Gupta, A., Krauthgamer, R., & Lee, J. R. (2004). Bounded geometries, fractals, and low-distortion embeddings. 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings. https://doi.org/10.1109/sfcs.2003.1238226

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