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APPROX
2007
Springer
100views Algorithms» more  APPROX 2007»
14 years 2 months ago
Implementing Huge Sparse Random Graphs
Consider a scenario where one desires to simulate the execution of some graph algorithm on random input graphs of huge, perhaps even exponential size. Sampling and storing these h...
Moni Naor, Asaf Nussboim
ICPR
2004
IEEE
14 years 9 months ago
Graph Based Image Matching
Given two or more images, we can define different but related problems on pattern matching such as image registration, pattern detection and localization, and common pattern disco...
Chong-Wah Ngo, Hui Jiang
ICML
2007
IEEE
14 years 9 months ago
Entire regularization paths for graph data
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda
WAW
2009
Springer
138views Algorithms» more  WAW 2009»
14 years 3 months ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang
COMPGEOM
2010
ACM
14 years 1 months ago
Constructing Reeb graphs using cylinder maps
The Reeb graph of a scalar function represents the evolution of the topology of its level sets. In this video, we describe a near-optimal output-sensitive algorithm for computing ...
Harish Doraiswamy, Aneesh Sood, Vijay Natarajan