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» Graph Transformation for Topology Modelling
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AGTIVE
2007
Springer
14 years 3 months ago
Applying a Grouping Operator in Model Transformations
The usability of model transformation languages depends on the abstractions one can work with in rules to perform complex operations on models. Recently, we have introduced a novel...
Daniel Balasubramanian, Anantha Narayanan, Sandeep...
QUACON
2009
Springer
14 years 3 months ago
Establishing Similarity across Multi-granular Topological-Relation Ontologies
Within the Geospatial Semantic Web, selecting a different ontology for a spatial data set will enable that data’s analysis in a different context. Analyses of multiple data sets,...
Matthew P. Dube, Max J. Egenhofer
CCR
2002
130views more  CCR 2002»
13 years 8 months ago
Network topologies, power laws, and hierarchy
It has long been thought that the Internet, and its constituent networks, are hierarchical in nature. Consequently, the network topology generators most widely used by the Interne...
Hongsuda Tangmunarunkit, Ramesh Govindan, Sugih Ja...
UAI
2004
13 years 10 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
ICCV
2007
IEEE
14 years 10 months ago
A Symmetry-Based Generative Model for Shape
We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock g...
Nhon H. Trinh, Benjamin B. Kimia