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» On the Complexity of the Maximum Cut Problem
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SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 16 days ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
SIAMIS
2010
378views more  SIAMIS 2010»
14 years 4 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
SIAMIS
2010
141views more  SIAMIS 2010»
14 years 4 months ago
Optimization by Stochastic Continuation
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...
Marc C. Robini, Isabelle E. Magnin
CVPR
2008
IEEE
15 years 11 months ago
Smoothing-based Optimization
We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
Marius Leordeanu, Martial Hebert
AAIM
2009
Springer
98views Algorithms» more  AAIM 2009»
15 years 4 months ago
Latency Constrained Aggregation in Chain Networks Admits a PTAS
This paper studies the aggregation of messages in networks that consist of a chain of nodes, and each message is time-constrained such that it needs to be aggregated during a give...
Tim Nonner, Alexander Souza