Dimensionality Reduction with Adaptive Approximation

@article{Kokiopoulou2007DimensionalityRW,
  title={Dimensionality Reduction with Adaptive Approximation},
  author={Effrosini Kokiopoulou and Pascal Frossard},
  journal={2007 IEEE International Conference on Multimedia and Expo},
  year={2007},
  pages={1962-1965}
}
In this paper, we propose the use of (adaptive) nonlinear approximation for dimensionality reduction. In particular, we propose a dimensionality reduction method for learning a parts based representation of signals using redundant dictionaries. A redundant dictionary is an overcomplete set of basis vectors that spans the signal space. The signals are… CONTINUE READING