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SODA
2008
ACM
125views Algorithms» more  SODA 2008»
13 years 9 months ago
Ultra-low-dimensional embeddings for doubling metrics
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...
T.-H. Hubert Chan, Anupam Gupta, Kunal Talwar
INFORMS
2010
110views more  INFORMS 2010»
13 years 4 months ago
Incremental Satisfiability and Implication for UTVPI Constraints
use for constraint solving, abstract interpretation, spatial databases, and theorem proving. In this paper we develop new incremental algorithms for UTVPI constraint satisfaction a...
Andreas Schutt, Peter J. Stuckey
PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 7 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
WADS
2009
Springer
291views Algorithms» more  WADS 2009»
14 years 2 months ago
On the Power of the Semi-Separated Pair Decomposition
Abstract. A Semi-Separated Pair Decomposition (SSPD), with parameter s > 1, of a set S ⊂ Rd is a set {(Ai, Bi)} of pairs of subsets of S such that for each i, there are balls ...
Mohammad Ali Abam, Paz Carmi, Mohammad Farshi, Mic...
PODC
2010
ACM
13 years 11 months ago
A modular approach to shared-memory consensus, with applications to the probabilistic-write model
We define two new classes of shared-memory objects: ratifiers, which detect agreement, and conciliators, which ensure agreement with some probability. We show that consensus can...
James Aspnes