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» On the Vulnerability of Large Graphs
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ICCV
2009
IEEE
15 years 2 months ago
Optimizing Parametric Total Variation Models
One of the key factors for the success of recent energy minimization methods is that they seek to compute global solutions. Even for non-convex energy functionals, optimization ...
Petter Strandmark, Fredrik Kahl, Niels Chr. Overga...
CORR
2008
Springer
103views Education» more  CORR 2008»
13 years 9 months ago
Generating Random Graphs with Large Girth
We present a simple and efficient algorithm for randomly generating simple graphs without small cycles. These graphs can be used to design high performance Low-Density Parity-Chec...
Mohsen Bayati, Andrea Montanari, Amin Saberi
KES
2008
Springer
13 years 9 months ago
Readable Representations for Large-Scale Bipartite Graphs
Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is a...
Shuji Sato, Kazuo Misue, Jiro Tanaka
DSD
2010
IEEE
135views Hardware» more  DSD 2010»
13 years 9 months ago
An Approximate Maximum Common Subgraph Algorithm for Large Digital Circuits
—This paper presents an approximate Maximum Common Subgraph (MCS) algorithm, specifically for directed, cyclic graphs representing digital circuits. Because of the application d...
Jochem H. Rutgers, Pascal T. Wolkotte, Philip K. F...
IJMMS
2007
166views more  IJMMS 2007»
13 years 9 months ago
Visualization of large networks with min-cut plots, A-plots and R-MAT
What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital f...
Deepayan Chakrabarti, Christos Faloutsos, Yiping Z...