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94
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DAM
2006
63views more  DAM 2006»
15 years 3 months ago
A new family of proximity graphs: Class cover catch digraphs
Motivated by issues in machine learning and statistical pattern classification, we investigate a class cover problem (CCP) with an associated family of directed graphs--class cove...
Jason DeVinney, Carey E. Priebe
115
Voted
WSDM
2009
ACM
187views Data Mining» more  WSDM 2009»
15 years 10 months ago
Speeding up algorithms on compressed web graphs
A variety of lossless compression schemes have been proposed to reduce the storage requirements of web graphs. One successful approach is virtual node compression [7], in which of...
Chinmay Karande, Kumar Chellapilla, Reid Andersen
129
Voted
AGTIVE
2003
Springer
15 years 8 months ago
Integrating Graph Rewriting and Standard Software Tools
OptimixJ is a graph rewrite tool that can be embedded easily into the standard software process. Applications and models can be developed in Java or UML and extended by graph rewri...
Uwe Aßmann, Johan Lövdahl
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 10 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke
CVPR
2005
IEEE
16 years 5 months ago
Energy Minimization via Graph Cuts: Settling What is Possible
The recent explosion of interest in graph cut methods in computer vision naturally spawns the question: what energy functions can be minimized via graph cuts? This question was fi...
Daniel Freedman, Petros Drineas