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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 4 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
SODA
2010
ACM
704views Algorithms» more  SODA 2010»
16 years 4 months ago
A locality-sensitive hash for real vectors
We present a simple and practical algorithm for the c-approximate near neighbor problem (c-NN): given n points P Rd and radius R, build a data structure which, given q Rd , can ...
Tyler Neylon
SODA
2010
ACM
235views Algorithms» more  SODA 2010»
16 years 4 months ago
Algorithmic Lower Bounds for Problems Parameterized by Clique-width
Many NP-hard problems can be solved efficiently when the input is restricted to graphs of bounded tree-width or clique-width. In particular, by the celebrated result of Courcelle,...
Fedor V. Fomin, Petr A. Golovach, Daniel Lokshtano...
SODA
2010
ACM
179views Algorithms» more  SODA 2010»
16 years 4 months ago
Property Testing and Parameter Testing for Permutations
There has been great interest in deciding whether a combinatorial structure satisfies some property, or in estimating the value of some numerical function associated with this com...
Carlos Hoppen, Yoshiharu Kohayakawa, Carlos G. T. ...
ICDT
2010
ACM
161views Database» more  ICDT 2010»
16 years 4 months ago
Composition with Target Constraints
It is known that the composition of schema mappings, each specified by source-to-target tgds (st-tgds), can be specified by a secondorder tgd (SO tgd). We consider the question of...
Marcelo Arenas, Ronald Fagin, Alan Nash
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