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ISMVL
2003
IEEE
80views Hardware» more  ISMVL 2003»
13 years 10 months ago
Augmented Sifting of Multiple-Valued Decision Diagrams
Discrete functions are now commonly represented by binary (BDD) and multiple-valued (MDD) decision diagrams. Sifting is an effective heuristic technique which applies adjacent var...
D. Michael Miller, Rolf Drechsler
JAIR
2010
130views more  JAIR 2010»
13 years 3 days ago
Interactive Cost Configuration Over Decision Diagrams
In many AI domains such as product configuration, a user should interactively specify a solution that must satisfy a set of constraints. In such scenarios, offline compilation of ...
Henrik Reif Andersen, Tarik Hadzic, David Pisinger
CVPR
2007
IEEE
14 years 7 months ago
Optimizing Binary MRFs via Extended Roof Duality
Many computer vision applications rely on the efficient optimization of challenging, so-called non-submodular, binary pairwise MRFs. A promising graph cut based approach for optim...
Carsten Rother, Vladimir Kolmogorov, Victor S. Lem...
IJCAI
2001
13 years 6 months ago
Efficient Consequence Finding
We present an extensive experimental study of consequence-finding algorithms based on kernel resolution, using both a trie-based and a novel ZBDD-based implementation, which uses ...
Laurent Simon, Alvaro del Val
JAIR
2008
171views more  JAIR 2008»
13 years 5 months ago
AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Multi-Valued Decision Diagrams (MDD) with AND nodes, in order to capture function ...
Robert Mateescu, Rina Dechter, Radu Marinescu 0002