Fusion of feature selection methods for pairwise scoring SVM

@article{Mak2008FusionOF,
  title={Fusion of feature selection methods for pairwise scoring SVM},
  author={Man-Wai Mak and Sun-Yuan Kung},
  journal={Neurocomputing},
  year={2008},
  volume={71},
  pages={3104-3113}
}
It has been recently discovered that stacking the pairwise comparison scores between an unknown patterns and a set of known patterns can result in feature vectors with nice discriminative properties for classification. However, such technique can be hampered by the curse of dimensionality because the vectors size is equal to the training set size. To… CONTINUE READING