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» Benchmarking for Graph Transformation
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KCAP
2003
ACM
15 years 6 months ago
Using transformations to improve semantic matching
Many AI tasks require determining whether two knowledge representations encode the same knowledge. Solving this matching problem is hard because representations may encode the sam...
Peter Z. Yeh, Bruce W. Porter, Ken Barker
BTW
2001
Springer
103views Database» more  BTW 2001»
15 years 5 months ago
On Realizing Transformation Independence in Open, Distributed Multimedia Information Systems
In this article, we present our efforts1 on realizing transformation independence in open, extensible, and highly distributed multimedia information The main focus is on the abstra...
Ulrich Marder
ICPR
2006
IEEE
16 years 2 months ago
Graph-based transformation manifolds for invariant pattern recognition with kernel methods
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
Alexei Pozdnoukhov, Samy Bengio
AUTOMATICA
2004
91views more  AUTOMATICA 2004»
15 years 24 days ago
Comparing digital implementation via the bilinear and step-invariant transformations
From an analog system K, digital systems Kd and Kbt are often obtained via the step-invariant and bilinear transformations, respectively. For the case when K is stable, it is show...
Guofeng Zhang, Tongwen Chen
DIS
2007
Springer
15 years 4 months ago
Time and Space Efficient Discovery of Maximal Geometric Graphs
A geometric graph is a labeled graph whose vertices are points in the 2D plane with an isomorphism invariant under geometric transformations such as translation, rotation, and scal...
Hiroki Arimura, Takeaki Uno, Shinichi Shimozono