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...
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...
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...
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...
—Deformable models have recently been proposed for many pattern recognition applications due to their ability to handle large shape variations.These proposed approaches represent...