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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
14 years 11 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
JSAC
2008
143views more  JSAC 2008»
14 years 10 months ago
Distributed Kalman filtering based on consensus strategies
In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own m...
Ruggero Carli, Alessandro Chiuso, Luca Schenato, S...
PODC
2006
ACM
15 years 3 months ago
Timeliness, failure-detectors, and consensus performance
We study the implication that various timeliness and failure detector assumptions have on the performance of consensus algorithms that exploit them. We present a general framework...
Idit Keidar, Alexander Shraer
PRDC
2007
IEEE
15 years 4 months ago
An Automatic Real-Time Analysis of the Time to Reach Consensus
Consensus is one of the most fundamental problems in fault-tolerant distributed computing. This paper proposes a mechanical method for analyzing the condition that allows one to s...
Tatsuhiro Tsuchiya, André Schiper
BMVC
2010
14 years 8 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...