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» Resolvent of large random graphs
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CMSB
2006
Springer
13 years 11 months ago
Randomization and Feedback Properties of Directed Graphs Inspired by Gene Networks
Having in mind the large-scale analysis of gene regulatory networks, we review a graph decimation algorithm, called "leaf-removal", which can be used to evaluate the feed...
M. Cosentino Lagomarsino, P. Jona, B. Bassetti
CVPR
2012
IEEE
11 years 10 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
ICCTA
2007
IEEE
13 years 11 months ago
What Graphs can be Efficiently Represented by BDDs?
We have carried out experimental research into implicit representation of large graphs using reduced ordered binary decision diagrams (OBDDs). We experimentally show that for grap...
Changxing Dong, Paul Molitor
FOCS
1993
IEEE
13 years 11 months ago
Simulated Annealing for Graph Bisection
We resolve in the a rmative a question of Boppana and Bui: whether simulated annealing can, with high probability and in polynomial time, nd the optimal bisection of a random grap...
Mark Jerrum, Gregory B. Sorkin
CVPR
2009
IEEE
15 years 2 months ago
P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation
Interactive image segmentation traditionally involves the use of algorithms such as Graph Cuts or Random Walker. Common concerns with using Graph Cuts are metrication artifacts ...
Dheeraj Singaraju, Leo Grady, René Vidal