Hypergraph regularized sparse feature learning

  title={Hypergraph regularized sparse feature learning},
  author={Mingxia Liu and Jun Zhang and Xiaochun Guo and Liujuan Cao},
As an important pre-processing stage in many machine learning and pattern recognition domains, feature selection deems to identify the most discriminate features for a compact data representation. As typical feature selection methods, Lasso and its variants using the l1-norm based regularization have received much attention in recent years. However, most of existing l1-norm based sparse feature selection methods ignore the structure information of data or only consider the pairwise… CONTINUE READING
2 Extracted Citations
52 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 52 references

Statistical Learning with Sparsity: The 350 Lasso and Generalizations

  • T. Hastie, R. Tibshirani, M. Wainwright
  • CRC Press
  • 2015
Highly Influential
7 Excerpts

Similar Papers

Loading similar papers…