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CVPR
2001
IEEE
16 years 8 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
MODELS
2009
Springer
16 years 1 months ago
An Incremental Algorithm for High-Performance Runtime Model Consistency
We present a novel technique for applying two-level runtime models to distributed systems. Our approach uses graph rewriting rules to transform a high-level source model into one o...
Christopher Wolfe, T. C. Nicholas Graham, W. Greg ...
VL
2005
IEEE
126views Visual Languages» more  VL 2005»
16 years 8 days ago
Animated Simulation of Integrated UML Behavioral Models Based on Graph Transformation
This paper shows how integrated UML models combining class, object, use-case, collaboration and state diagrams can be animated in a domain-specific layout. The presented approach...
Claudia Ermel, Karsten Hölscher, Sabine Kuske...
IJSEKE
2006
138views more  IJSEKE 2006»
15 years 6 months ago
Towards Automatic Establishment of Model Dependencies Using Formal Concept Analysis
tion and alteration of software models at different levels of abstraction. These modifications are usually performed independently, but the objects to which they are applied to, ar...
Igor Ivkovic, Kostas Kontogiannis
NCA
2008
IEEE
15 years 6 months ago
A Bradley-Terry artificial neural network model for individual ratings in group competitions
A common statistical model for paired comparisons is the Bradley-Terry model. This research re-parameterizes the Bradley-Terry model as a single-layer artificial neural network (A...
Joshua E. Menke, Tony R. Martinez