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» A Use Case Based Approach to Feature Models' Construction
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ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 8 days ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
MICCAI
1999
Springer
15 years 9 months ago
3D Image Matching Using a Finite Element Based Elastic Deformation Model
We present a new approach for the computation of the deformation field between three dimensional (3D) images. The deformation field minimizes the sum of the squared differences b...
Matthieu Ferrant, Simon K. Warfield, Charles R. G....
ICSR
2004
Springer
15 years 10 months ago
XML-Based Feature Modelling
This paper describes a feature modelling technique aimed at modelling the software assets behind a product family. The proposed technique is distinctive in five respects. First, it...
Vaclav Cechticky, Alessandro Pasetti, O. Rohlik, W...
MICAI
2010
Springer
15 years 3 months ago
Recognizing Textual Entailment Using a Machine Learning Approach
We present our experiments on Recognizing Textual Entailment based on modeling the entailment relation as a classification problem. As features used to classify the entailment pair...
Miguel Angel Ríos Gaona, Alexander F. Gelbu...
162
Voted
ICIP
1998
IEEE
16 years 6 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin