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» A Model-Driven Transformation Method
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PAMI
2008
140views more  PAMI 2008»
15 years 4 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
SAC
2006
ACM
15 years 4 months ago
Transformation of B specifications into UML class diagrams and state machines
We propose a rule-based approach for transforming B abstract machines into UML diagrams. We believe that important insight into the structure underlying a B model can be gained by...
Houda Fekih, Leila Jemni Ben Ayed, Stephan Merz
TIP
2010
144views more  TIP 2010»
14 years 10 months ago
Direction-Adaptive Partitioned Block Transform for Color Image Coding
- In this report, we investigate the application of Direction Adaptive-Partitioned Block Transform (DA-PBT) to color images and propose a basic framework for DA-PBT Color Image Cod...
Chuo-Ling Chang, Mina Makar, Sam S. Tsai, Bernd Gi...
CVPR
2008
IEEE
16 years 6 months ago
Computing minimal deformations: application to construction of statistical shape models
Nonlinear registration is mostly performed after initialization by a global, linear transformation (in this work, we focus on similarity transformations), computed by a linear reg...
Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali...
ICPR
2004
IEEE
16 years 5 months ago
Adjustable Invariant Features by Partial Haar-Integration
A very common type of a-priori knowledge in pattern analysis problems is invariance of the input data with respect to transformation groups, e.g. geometric transformations of imag...
Alaa Halawani, Bernard Haasdonk, Hans Burkhardt