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Hierarchical geometric constraint networks as a representation for spatial structural knowledge.
A representation is proposed for capturing generic spatial knowledge about classes of objects in a structural hierarchy of biology. The basic premise is that spatial properties such as shape and relative relationships can be expressed as networks of interacting constraints. The representation is def...
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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Medical Informatics Association
1992
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2248139/ https://ncbi.nlm.nih.gov/pubmed/1482856 |
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