239 search results - page 3 / 48 » Some Results on Greedy Embeddings in Metric Spaces |
149
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CODES
2002
IEEE
15 years 5 months ago
2002
IEEE
This paper considers the problem of designing heterogeneous multiprocessor embedded systems. The focus is on a step of the design flow: the definition of innovative metrics for th...
122
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IPSN
2011
Springer
14 years 3 months ago
2011
Springer
In a sensor network there are many paths between a source and a destination. An efficient method to explore and navigate in the ‘path space’ can help many important routing p...
FOCS
2003
IEEE
15 years 5 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...
TALG
2008
15 years 6 days ago
2008
In this paper, we study the metrics of negative type, which are metrics (V, d) such that d is an Euclidean metric; these metrics are thus also known as " 2-squared" met...
113
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JMLR
2010
14 years 7 months ago
2010
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....