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» Matching Algorithms Are Fast in Sparse Random Graphs
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ICDE
2008
IEEE
159views Database» more  ICDE 2008»
14 years 9 months ago
Fast Graph Pattern Matching
Due to rapid growth of the Internet technology and new scientific/technological advances, the number of applications that model data as graphs increases, because graphs have high e...
Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S...
ECCV
2010
Springer
14 years 1 months ago
Reweighted Random Walks for Graph Matching
Graph matching is an essential problem in computer vision and machine learning. In this paper, we introduce a random walk view on the problem and propose a robust graph matching al...
Minsu Cho (Seoul National University), Jungmin Lee...
CORR
2010
Springer
181views Education» more  CORR 2010»
13 years 8 months ago
Sparse Recovery with Orthogonal Matching Pursuit under RIP
This paper presents a new analysis for the orthogonal matching pursuit (OMP) algorithm. It is shown that if the restricted isometry property (RIP) is satisfied at sparsity level O...
Tong Zhang
APPROX
2005
Springer
122views Algorithms» more  APPROX 2005»
14 years 1 months ago
Finding a Maximum Independent Set in a Sparse Random Graph
We consider the problem of finding a maximum independent set in a random graph. The random graph G, which contains n vertices, is modelled as follows. Every edge is included inde...
Uriel Feige, Eran Ofek
CORR
2011
Springer
152views Education» more  CORR 2011»
13 years 2 months ago
Topology Discovery of Sparse Random Graphs With Few Participants
We consider the task of topology discovery of sparse random graphs using end-to-end random measurements (e.g., delay) between a subset of nodes, referred to as the participants. T...
Animashree Anandkumar, Avinatan Hassidim, Jonathan...