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CORR
2008
Springer
77views Education» more  CORR 2008»
13 years 6 months ago
Optimal hash functions for approximate closest pairs on the n-cube
One way to find closest pairs in large datasets is to use hash functions [6], [12]. In recent years locality-sensitive hash functions for various metrics have been given: projecti...
Daniel M. Gordon, Victor Miller, Peter Ostapenko
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 6 months ago
The Power of Simple Tabulation Hashing
Randomized algorithms are often enjoyed for their simplicity, but the hash functions used to yield the desired theoretical guarantees are often neither simple nor practical. Here ...
Mihai Patrascu, Mikkel Thorup
STOC
2003
ACM
178views Algorithms» more  STOC 2003»
14 years 6 months ago
Uniform hashing in constant time and linear space
Many algorithms and data structures employing hashing have been analyzed under the uniform hashing assumption, i.e., the assumption that hash functions behave like truly random fu...
Anna Östlin, Rasmus Pagh
WWW
2007
ACM
14 years 6 months ago
GigaHash: scalable minimal perfect hashing for billions of urls
A minimal perfect function maps a static set of keys on to the range of integers {0,1,2, ... , - 1}. We present a scalable high performance algorithm based on random graphs for ...
Kumar Chellapilla, Anton Mityagin, Denis Xavier Ch...
SOFSEM
2009
Springer
14 years 2 months ago
Weaknesses of Cuckoo Hashing with a Simple Universal Hash Class: The Case of Large Universes
Cuckoo hashing was introduced by Pagh and Rodler in 2001 [12]. A set S of n keys is stored in two tables T1 and T2 each of which has m cells of capacity 1 such that constant access...
Martin Dietzfelbinger, Ulf Schellbach