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JMLR
2008
141views more  JMLR 2008»
15 years 6 months ago
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...
Mathias Drton, Thomas S. Richardson
TAGT
1998
Springer
243views Graph Theory» more  TAGT 1998»
15 years 10 months ago
Double-Pullback Graph Transitions: A Rule-Based Framework with Incomplete Information
Reactive systems perform their tasks through interaction with their users or with other systems (as parts of a bigger system). An essential requirement for modeling such systems is...
Hartmut Ehrig, Reiko Heckel, Mercè Llabr&ea...
ICIP
2010
IEEE
15 years 4 months ago
Local two-channel critically sampled filter-banks on graphs
In this paper, we propose two-channel filter-bank designs for signals defined on arbitrary graphs. These filter-banks are local, invertible and critically sampled. Depending on th...
Sunil K. Narang, Antonio Ortega
RELMICS
2009
Springer
16 years 1 months ago
Collagories for Relational Adhesive Rewriting
We define collagories essentially as “distributive allegories without zero morphisms”, and show that they are sufficient for accommodating the relation-algebraic approach to ...
Wolfram Kahl
FASE
2005
Springer
16 years 2 days ago
Ensuring Structural Constraints in Graph-Based Models with Type Inheritance
Graphs are a common means to represent structures in models and meta-models of software systems. In this context, the description of model domains by classifying the domain entitie...
Gabriele Taentzer, Arend Rensink