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» Using feature models to automate model transformations
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CVPR
2012
IEEE
13 years 6 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
AGTIVE
2007
Springer
15 years 10 months ago
The EMF Model Transformation Framework
We present the EMF Model Transformation framework (EMT), which supports the rule-based modification of EMF models. Model transformation rules are defined graphically and compiled...
Enrico Biermann, Karsten Ehrig, Claudia Ermel, Chr...
TOSEM
2002
153views more  TOSEM 2002»
15 years 3 months ago
Automated abstraction of class diagrams
d Abstraction of Class Diagrams ALEXANDER EGYED Teknowledge Corporation Designers can easily become overwhelmed with details when dealing with large class diagrams. icle presents a...
Alexander Egyed
ICST
2010
IEEE
15 years 2 months ago
Automated and Scalable T-wise Test Case Generation Strategies for Software Product Lines
Abstract—Software Product Lines (SPL) are difficult to validate due to combinatorics induced by variability across their features. This leads to combinatorial explosion of the n...
Gilles Perrouin, Sagar Sen, Jacques Klein, Benoit ...
ICDE
1999
IEEE
209views Database» more  ICDE 1999»
16 years 5 months ago
Efficient Time Series Matching by Wavelets
Time series stored as feature vectors can be indexed by multidimensional index trees like R-Trees for fast retrieval. Due to the dimensionality curse problem, transformations are ...
Kin-pong Chan, Ada Wai-Chee Fu