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» A Model-Driven Transformation Method
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ICPR
2006
IEEE
16 years 4 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
133
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ICIAP
2007
ACM
16 years 3 months ago
A Method for Blur and Similarity Transform Invariant Object Recognition
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
Janne Heikkilä, Ville Ojansivu
BMCBI
2008
139views more  BMCBI 2008»
15 years 3 months ago
A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joinin
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
Maozu Guo, Jian-Fu Li, Yang Liu
ASM
2010
ASM
15 years 10 months ago
Secrecy UML Method for Model Transformations
Abstract. This paper introduces the subject of secrecy models development by transformation, with formal validation. In an enterprise, constructing a secrecy model is a participato...
Waël Hassan, Nadera Slimani, Kamel Adi, Luigi...
ENTCS
2008
102views more  ENTCS 2008»
15 years 3 months ago
Towards a Systematic Method for Proving Termination of Graph Transformation Systems
We describe a method for proving the termination of graph transformation systems. The method is based on the fact that infinite reductions must include infinite `creation chains&#...
Harrie Jan Sander Bruggink