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» Approximation Algorithms for Clustering Problems
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180
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STOC
2003
ACM
164views Algorithms» more  STOC 2003»
16 years 6 months ago
Approximate counting by dynamic programming
We give efficient algorithms to sample uniformly, and count approximately, the solutions to a zero-one knapsack problem. The algorithm is based on using dynamic programming to pro...
Martin E. Dyer
ICPP
2006
IEEE
16 years 11 days ago
A Parallel External-Memory Frontier Breadth-First Traversal Algorithm for Clusters of Workstations
— This paper presents a parallel external-memory algorithm for performing a breadth-first traversal of an implicit graph on a cluster of workstations. The algorithm is a paralle...
Robert Niewiadomski, José Nelson Amaral, Ro...
SIROCCO
2004
15 years 7 months ago
The Range Assignment Problem in Static Ad-Hoc Networks on Metric Spaces
In this paper we study the range assignment problem in static ad-hoc networks on metric spaces. We consider the h-strong connectivity and h-broadcast problems on trees, high dimens...
Deshi Ye, Hu Zhang
STOC
2004
ACM
109views Algorithms» more  STOC 2004»
16 years 6 months ago
Approximating the cut-norm via Grothendieck's inequality
The cut-norm ||A||C of a real matrix A = (aij)iR,jS is the maximum, over all I R, J S of the quantity | iI,jJ aij|. This concept plays a major role in the design of efficient app...
Noga Alon, Assaf Naor
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
16 years 25 days ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan