Sparse kernel feature analysis using FastMap and its variants

@article{Ban2009SparseKF,
  title={Sparse kernel feature analysis using FastMap and its variants},
  author={Tao Ban and Youki Kadobayashi and Shigeo Abe},
  journal={2009 International Joint Conference on Neural Networks},
  year={2009},
  pages={256-263}
}
In this paper, we propose a novel learning framework to reformulate a kernel-based classifier in terms of three modular components: kernel-function determination to incorporate domain knowledge, sparse data representation using FastMap and its variants, and supervised classification performed by using primal form analyzers such as linear SVM. The first… CONTINUE READING