NDLI: Matching Random Tree Models of Spatio-Temporal Patterns to Tables or Graphs

Content Provider	IEEE Xplore Digital Library
Author	Paglieroni, D.W. Nekoogar, F.
Copyright Year	2007
Description	Author affiliation: Lawrence Livermore Nat. Lab., California Univ., CA (Paglieroni, D.W.; Nekoogar, F.)
Abstract	The problem of matching random tree models of multi-component patterns to tables or graphs containing components extracted from diverse data sources is considered. We focus on bi-level trees whose branches emanate from one root node and terminate on different leaf nodes. Node and branch attributes are treated as random variables. Tree nodes represent pattern components of specified types that occur in tables or graphs to be searched. For each item in the table or graph with a type match to the tree root, there is a set of components from the table or graph that are candidate leaves for optimal matches to the tree model. We adopt a view of optimal matches to random tree models as minimum cost assignments of candidate leaves to tree branches. Model-based formulas are derived for computing costs associated with assignments of specific candidate leaf components from tables or graphs to specific tree branches. We specify an ontology suitable for dynamic geo-spatial query problems in which (1) tree nodes represent physical objects or events on the ground (buildings, roads, communication transmissions...), and (2) branch attributes characterize, with uncertainty, distance or time separations between components, and angles between links connecting components. Our approach is used to search very large images for specific types of buildings in probabilistically constrained spatial arrangements, with the goal of ranking model matches for efficient inspection by human analysts.
Starting Page	560
Ending Page	567
File Size	9107900
Page Count	8
File Format	PDF
ISBN	1424407052
DOI	10.1109/CIDM.2007.368925
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Roads Ontologies Data mining bipartite graph Tree graphs statistical graph Hungarian algorithm Cost function Random variables content-based image retrieval Optimal matching Joining processes random tree model Pattern matching
Content Type	Text
Resource Type	Article

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