Ultra-low-dimensional embeddings for doubling metrics

doi:10.1145/1734213.1734215

Ultra-low-dimensional embeddings for doubling metrics

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Authors:	T.-H. Hubert Chan	The University of Hong Kong, Hong Kong
	Anupam Gupta	Carnegie Mellon University, Pittsburgh, Pennsylvania
	Kunal Talwar	Microsoft Research, Silicon Valley Campus, Mountain view, California

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	Journal of the ACM (JACM) JACM Homepage archive
	Volume 57 Issue 4, April 2010 Article No. 21 ACM New York, NY, USA table of contents doi>10.1145/1734213.1734215

	2010 Article Research Refereed
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Tags: algorithms dimension reduction euclidean embedding geometrical problems and computations metric spaces theory

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