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» Approximate Discovery of Random Graphs
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127
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STOC
2009
ACM
139views Algorithms» more  STOC 2009»
16 years 3 months ago
Online and stochastic survivable network design
Consider the edge-connectivity survivable network design problem: given a graph G = (V, E) with edge-costs, and edgeconnectivity requirements rij Z0 for every pair of vertices i,...
Anupam Gupta, Ravishankar Krishnaswamy, R. Ravi
118
Voted
CIKM
2009
Springer
15 years 9 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
118
Voted
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 4 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
124
Voted
JCO
2010
101views more  JCO 2010»
15 years 1 months ago
Separator-based data reduction for signed graph balancing
Abstract Polynomial-time data reduction is a classical approach to hard graph problems. Typically, particular small subgraphs are replaced by smaller gadgets. We generalize this ap...
Falk Hüffner, Nadja Betzler, Rolf Niedermeier
163
Voted
ICIP
2010
IEEE
15 years 23 days ago
3D vertebrae segmentation using graph cuts with shape prior constraints
Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral densit...
Melih S. Aslan, Asem M. Ali, Dongqing Chen, Ben Ar...