Tractable tree convex constraint networks

  • Yuanlin Zhang
  • , Eugene C. Freuder

Research output: Contribution to conferencePaperpeer-review

Abstract

A binary constraint network is tree convex if we can construct a tree for the domain of the variables so that for any constraint, no matter what value one variable takes, all the values allowed for the other variable form a subtree of the constructed tree. It is known that a tree convex network is globally consistent if it is path consistent. However, if a tree convex network is not path consistent, enforcing path consistency on it may not make it globally consistent. In this paper, we identify a subclass of tree convex networks which are locally chain convex and union closed. This class of problems can be made globally consistent by path consistency and thus is tractable. More interestingly, we also find that some scene labeling problems can be modeled by tree convex constraints in a natural and meaningful way.

Original languageEnglish
Pages197-202
Number of pages6
Publication statusPublished - 2004
Event19th National Conference on Artificial Intelligence, AAAI-2004, 6th Innovative Applications of Artificial Intelligence Conference, IAAI 2004 - San Jose, CA, United States
Duration: 25 Jul 200429 Jul 2004

Conference

Conference19th National Conference on Artificial Intelligence, AAAI-2004, 6th Innovative Applications of Artificial Intelligence Conference, IAAI 2004
Country/TerritoryUnited States
CitySan Jose, CA
Period25/07/0429/07/04

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