7 search results - page 1 / 2 » Ultra-low-dimensional embeddings for doubling metrics |
FOCS
2003
IEEE
13 years 9 months ago
2003
IEEE
The doubling constant of a metric space (X, d) is the smallest value λ such that every ball in X can be covered by λ balls of half the radius. The doubling dimension of X is the...
SODA
2008
ACM
13 years 5 months ago
2008
ACM
We consider the problem of embedding a metric into low-dimensional Euclidean space. The classical theorems of Bourgain, and of Johnson and Lindenstrauss say that any metric on n p...
STOC
2004
ACM
14 years 4 months ago
2004
ACM
The doubling dimension of a metric is the smallest k such that any ball of radius 2r can be covered using 2k balls of raThis concept for abstract metrics has been proposed as a na...
DMIN
2009
13 years 2 months ago
2009
Record linkage is the problem of identifying similar records across different data sources. The similarity between two records is defined based on domain-specific similarity functi...
FOCS
2005
IEEE
13 years 10 months ago
2005
IEEE
We consider the problem of embedding finite metrics with slack: we seek to produce embeddings with small dimension and distortion while allowing a (small) constant fraction of al...