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» Submodular function minimization
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98
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ICCAD
2001
IEEE
192views Hardware» more  ICCAD 2001»
15 years 9 months ago
BOOM - A Heuristic Boolean Minimizer
We present a two-level Boolean minimization tool (BOOM) based on a new implicant generation paradigm. In contrast to all previous minimization methods, where the implicants are ge...
Jan Hlavicka, Petr Fiser
96
Voted
WEA
2005
Springer
138views Algorithms» more  WEA 2005»
15 years 6 months ago
A Practical Minimal Perfect Hashing Method
We propose a novel algorithm based on random graphs to construct minimal perfect hash functions h. For a set of n keys, our algorithm outputs h in expected time O(n). The evaluatio...
Fabiano C. Botelho, Yoshiharu Kohayakawa, Nivio Zi...
106
Voted
WWW
2007
ACM
16 years 1 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...
85
Voted
PVLDB
2010
91views more  PVLDB 2010»
14 years 11 months ago
Regret-Minimizing Representative Databases
We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users h...
Danupon Nanongkai, Atish Das Sarma, Ashwin Lall, R...
90
Voted
ICALP
2009
Springer
16 years 22 days ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty