Infinite Feature Selection

@article{Roffo2015InfiniteFS,
  title={Infinite Feature Selection},
  author={Giorgio Roffo and S. Melzi and M. Cristani},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={4202-4210}
}
Filter-based feature selection has become crucial in many classification settings, especially object recognition, recently faced with feature learning strategies that originate thousands of cues. In this paper, we propose a feature selection method exploiting the convergence properties of power series of matrices, and introducing the concept of infinite feature selection (Inf-FS). Considering a selection of features as a path among feature distributions and letting these paths tend to an… Expand
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