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» Proving Time Bounds for Randomized Distributed Algorithms
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116
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COMPGEOM
2009
ACM
15 years 7 months ago
k-means requires exponentially many iterations even in the plane
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
Andrea Vattani
CORR
2006
Springer
112views Education» more  CORR 2006»
15 years 2 months ago
Lossless coding for distributed streaming sources
Distributed source coding is traditionally viewed in the block coding context -- all the source symbols are known in advance at the encoders. This paper instead considers a stream...
Cheng Chang, Stark C. Draper, Anant Sahai
134
Voted
ISAAC
2007
Springer
146views Algorithms» more  ISAAC 2007»
15 years 8 months ago
Bounded Tree-Width and CSP-Related Problems
We study the complexity of structurally restricted homomorphism and constraint satisfaction problems. For every class of relational structures C, let LHOM(C, _) be the problem of d...
Tommy Färnqvist, Peter Jonsson
FOCS
1999
IEEE
15 years 7 months ago
Near-Optimal Conversion of Hardness into Pseudo-Randomness
Various efforts ([?, ?, ?]) have been made in recent years to derandomize probabilistic algorithms using the complexity theoretic assumption that there exists a problem in E = dti...
Russell Impagliazzo, Ronen Shaltiel, Avi Wigderson
113
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COCO
1994
Springer
100views Algorithms» more  COCO 1994»
15 years 6 months ago
Relative to a Random Oracle, NP is Not Small
Resource-bounded measure as originated by Lutz is an extension of classical measure theory which provides a probabilistic means of describing the relative sizes of complexity clas...
Steven M. Kautz, Peter Bro Miltersen