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SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 5 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
NAR
2008
122views more  NAR 2008»
15 years 4 months ago
SIMAP - structuring the network of protein similarities
Protein sequences are the most important source of evolutionary and functional information for new proteins. In order to facilitate the computationally intensive tasks of sequence...
Thomas Rattei, Patrick Tischler, Roland Arnold, Fr...
ICDE
2009
IEEE
163views Database» more  ICDE 2009»
16 years 6 months ago
Distance-Based Representative Skyline
Given an integer k, a representative skyline contains the k skyline points that best describe the tradeoffs among different dimensions offered by the full skyline. Although this to...
Yufei Tao, Ling Ding, Xuemin Lin, Jian Pei
ICML
2000
IEEE
16 years 5 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
CLUSTER
2006
IEEE
15 years 10 months ago
Robust task scheduling in non-deterministic heterogeneous computing systems
The paper addresses the problem of matching and scheduling of DAG-structured application to both minimize the makespan and maximize the robustness in a heterogeneous computing sys...
Zhiao Shi, Emmanuel Jeannot, Jack Dongarra