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» Graphical Models for Graph Matching
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FASE
2005
Springer
14 years 3 months ago
Termination Criteria for Model Transformation
Model Transformation has become central to most software engineering activities. It refers to the process of modifying a (usually graphical) model for the purpose of analysis (by i...
Hartmut Ehrig, Karsten Ehrig, Juan de Lara, Gabrie...
UAI
2004
13 years 11 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
JETAI
1998
110views more  JETAI 1998»
13 years 9 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
IJPP
2011
99views more  IJPP 2011»
13 years 5 months ago
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over even multicore CPUs for lattice-oriented applicatio...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
PAMI
2006
132views more  PAMI 2006»
13 years 10 months ago
A Generative Sketch Model for Human Hair Analysis and Synthesis
In this paper, we present a generative sketch model for human hair analysis and synthesis. We treat hair images as 2D piecewisely smooth vector (flow) fields, and thus our represe...
Hong Chen, Song Chun Zhu