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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
CONSTRAINTS
2010
101views more  CONSTRAINTS 2010»
13 years 9 months ago
Constraint models for graceful graphs
Abstract. We present three constraint models of the problem of finding a graceful labelling of a graph, or proving that the graph is not graceful. An experimental comparison of the...
Barbara M. Smith, Jean-François Puget
INFOCOM
2007
IEEE
14 years 3 months ago
Performance Evaluation of Loss Networks via Factor Graphs and the Sum-Product Algorithm
— Loss networks provide a powerful tool for the analysis and design of many communication and networking systems. It is well known that a large number of loss networks have produ...
Jian Ni, Sekhar Tatikonda
GG
2004
Springer
14 years 2 months ago
Tutorial on DNA Computing and Graph Transformation
that graph transformations provide the right level of abstraction, and useful technical tools for studying gene assembly. On the other hand, the gene assembly process inspires a ne...
Tero Harju, Ion Petre, Grzegorz Rozenberg
ECCV
2010
Springer
14 years 1 months ago
From a Set of Shapes to Object Discovery
Abstract. This paper presents an approach to object discovery in a given unlabeled image set, based on mining repetitive spatial configurations of image contours. Contours that si...