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» Determining Consensus Numbers
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ECCV
2004
Springer
14 years 28 days ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
HT
2007
ACM
13 years 11 months ago
Annotation consensus: implications for passage recommendation in scientific literature
We present a study of the degree to which annotations overlap when several researchers read the same set of scientific articles. Our objective is to determine whether there is suf...
Shannon Bradshaw, Marc Light
DSN
2002
IEEE
14 years 15 days ago
A Realistic Look At Failure Detectors
This paper shows that, in an environment where we do not bound the number of faulty processes, the class P of Perfect failure detectors is the weakest (among realistic failure det...
Carole Delporte-Gallet, Hugues Fauconnier, Rachid ...
JSAC
2008
98views more  JSAC 2008»
13 years 7 months ago
Randomized consensus algorithms over large scale networks
Suppose we have a directed graph G with set of nodes V = {1, . . . , N} and a measure xi for every node i V . The average consensus problem consists in computing the average xA = ...
Fabio Fagnani, Sandro Zampieri
PODC
2010
ACM
13 years 11 months ago
A modular approach to shared-memory consensus, with applications to the probabilistic-write model
We define two new classes of shared-memory objects: ratifiers, which detect agreement, and conciliators, which ensure agreement with some probability. We show that consensus can...
James Aspnes