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» Pattern-Recognition: a Foundational Approach
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122
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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
149
Voted
STEP
2005
IEEE
15 years 9 months ago
Elemental Design Patterns Recognition In Java
The decomposition of design patterns into simpler elements may reduce significantly the creation of variants in forward engineering, while it increases the possibility of identify...
Francesca Arcelli Fontana, Stefano Masiero, Claudi...
132
Voted
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 9 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
MCS
2007
Springer
15 years 3 months ago
Finite element approach to modelling evolution of 3D shape memory materials
A general finite element framework for the application to different types of phase transforming alloys and under general thermomechanical loadings is presented. The developed tec...
D. Roy Mahapatra, Roderick V. N. Melnik
143
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PAMI
1998
134views more  PAMI 1998»
15 years 3 months ago
A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition
—Deformable models have recently been proposed for many pattern recognition applications due to their ability to handle large shape variations.These proposed approaches represent...
Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin