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» Solving Constraints in Model Transformations
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JMM2
2007
96views more  JMM2 2007»
15 years 12 days ago
A Framework for Linear Transform Approximation Using Orthogonal Basis Projection
—This paper aims to develop a novel framework to systematically trade-off computational complexity with output distortion in linear multimedia transforms, in an optimal manner. T...
Yinpeng Chen, Hari Sundaram
ICPR
2008
IEEE
15 years 7 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
61
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Least-squares design of subsampled allpass transformed DFT filter-banks with LTI property
A new design approach for an allpass transformed analysis-synthesis filter-bank (AS FB) with subsampling is proposed, which can be used for adaptive subband processing with non-u...
Heinrich W. Löllmann, Guido Dartmann, Peter V...
CP
2005
Springer
15 years 6 months ago
Acquiring Parameters of Implied Global Constraints
This paper presents a technique for learning parameterized implied constraints. They can be added to a model to improve the solving process. Experiments on implied Gcc constraints ...
Christian Bessière, Remi Coletta, Thierry P...
IJCAI
1989
15 years 1 months ago
Functional Representation of Designs and Redesign Problem Solving
gn problem can be abstractly characterized as a constrained function-to-structure mapping. The de­ sign task takes as input the specifications of the desired functions of a device...
Ashok K. Goel, B. Chandrasekaran