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» The Linear Complexity of a Graph
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AI
2003
Springer
16 years 23 days ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
222
Voted
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 4 months ago
Schaefer's theorem for graphs
Schaefer's theorem is a complexity classification result for so-called Boolean constraint satisfaction problems: it states that every Boolean constraint satisfaction problem ...
Manuel Bodirsky, Michael Pinsker
ICIP
2008
IEEE
16 years 9 months ago
Graph-based deinterlacing
This article presents a new algorithm for spatial deinterlacing that could easily be integrated in a more complete deinterlacing system. The spatial interpolation process often fa...
Jérôme Roussel, Pascal Bertolino
171
Voted
GD
2007
Springer
15 years 11 months ago
Efficient Extraction of Multiple Kuratowski Subdivisions
Abstract. A graph is planar if and only if it does not contain a Kuratowski subdivision. Hence such a subdivision can be used as a witness for non-planarity. Modern planarity testi...
Markus Chimani, Petra Mutzel, Jens M. Schmidt
161
Voted
AML
2005
84views more  AML 2005»
15 years 7 months ago
Modularity of proof-nets
When we cut a multiplicative proof-net of linear logic in two parts we get two modules with a certain border. We call pretype of a module the set of partitions over its border indu...
Roberto Maieli, Quintijn Puite