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» Significance-Driven Graph Clustering
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STOC
2005
ACM
135views Algorithms» more  STOC 2005»
16 years 4 months ago
Quadratic forms on graphs
We introduce a new graph parameter, called the Grothendieck constant of a graph G = (V, E), which is defined as the least constant K such that for every A : E R, sup f:V S|V |-1 ...
Noga Alon, Konstantin Makarychev, Yury Makarychev,...
BMCBI
2010
120views more  BMCBI 2010»
15 years 4 months ago
Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology
Background: In many protein-protein interaction (PPI) networks, densely connected hub proteins are more likely to be essential proteins. This is referred to as the "centralit...
Kang Ning, Hoong Kee Ng, Sriganesh Srihari, Hon Wa...
CVPR
2000
IEEE
16 years 6 months ago
Image Segmentation by Nested Cuts
We present a new image segmentation algorithm based on graph cuts. Our main tool is separation of each pixel from a special point outside the image by a cut of a minimum cost. Suc...
Olga Veksler
ICS
2010
Tsinghua U.
16 years 1 months ago
Local Algorithms for Finding Interesting Individuals in Large Networks
: We initiate the study of local, sublinear time algorithms for finding vertices with extreme topological properties -- such as high degree or clustering coefficient -- in large so...
Mickey Brautbar, Michael Kearns
CVPR
2010
IEEE
16 years 20 days ago
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
Yong Jae Lee, Kristen Grauman