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» Approximation schemes for clustering problems
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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 4 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
KDD
2006
ACM
159views Data Mining» more  KDD 2006»
16 years 2 months ago
Global distance-based segmentation of trajectories
This work introduces distance-based criteria for segmentation of object trajectories. Segmentation leads to simplification of the original objects into smaller, less complex primi...
Aris Anagnostopoulos, Michail Vlachos, Marios Hadj...
134
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STOC
2005
ACM
135views Algorithms» more  STOC 2005»
16 years 2 months ago
Quadratic forms on graphs
We introduce a new graph parameter, called the Grothendieck constant of a graph G = (V, E), which is defined as the least constant K such that for every A : E R, sup f:V S|V |-1 ...
Noga Alon, Konstantin Makarychev, Yury Makarychev,...
144
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ECCV
2008
Springer
16 years 6 days ago
Window Annealing over Square Lattice Markov Random Field
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
123
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MOBISYS
2006
ACM
16 years 1 months ago
ARIADNE: a dynamic indoor signal map construction and localization system
Location determination of mobile users within a building has attracted much attention lately due to its many applications in mobile networking including network intrusion detectio...
Yiming Ji, Saad Biaz, Santosh Pandey, Prathima Agr...