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RSA
2010
107views more  RSA 2010»
14 years 11 months ago
Continuum limits for classical sequential growth models
A random graph order, also known as a transitive percolation process, is defined by taking a random graph on the vertex set {0, . . . , n − 1}, and putting i below j if there i...
Graham Brightwell, Nicholas Georgiou
118
Voted
CORR
2010
Springer
136views Education» more  CORR 2010»
14 years 10 months ago
Schaefer's theorem for graphs
Schaefer's theorem is a complexity classification result for so-called Boolean constraint satisfaction problems: it states that every Boolean constraint satisfaction problem ...
Manuel Bodirsky, Michael Pinsker
97
Voted
ICML
2005
IEEE
16 years 1 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
CIKM
2009
Springer
15 years 7 months ago
Privacy-enhanced public view for social graphs
We consider the problem of releasing a limited public view of a sensitive graph which reveals at least k edges per node. We are motivated by Facebook’s public search listings, w...
Hyoungshick Kim, Joseph Bonneau
ECCV
2006
Springer
16 years 2 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady