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» Collusion set detection using graph clustering
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SCAM
2003
IEEE
14 years 2 months ago
Online Cycle Detection and Difference Propagation for Pointer Analysis
This paper presents and evaluates a number of techniques to improve the execution time of interprocedural pointer analysis in the context of large C programs. The analysis is form...
David J. Pearce, Paul H. J. Kelly, Chris Hankin
CVPR
2008
IEEE
14 years 10 months ago
Global pose estimation using non-tree models
We propose a novel global pose estimation method to detect body parts of articulated objects in images based on non-tree graph models. There are two kinds of edges defined in the ...
Hao Jiang, David R. Martin
JAIR
1998
92views more  JAIR 1998»
13 years 8 months ago
The Gn, m Phase Transition is Not Hard for the Hamiltonian Cycle Problem
Using an improved backtrack algorithm with sophisticated pruning techniques, we revise previous observations correlating a high frequency of hard to solve Hamiltonian cycle instan...
Basil Vandegriend, Joseph C. Culberson
TVCG
2012
185views Hardware» more  TVCG 2012»
11 years 11 months ago
Interest Driven Navigation in Visualization
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Christopher G. Healey, Brent M. Dennis
KDD
2007
ACM
144views Data Mining» more  KDD 2007»
14 years 9 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren