Local and global regularized sparse coding for data representation

@article{Shu2016LocalAG,
  title={Local and global regularized sparse coding for data representation},
  author={Zhenqiu Shu and Jun Zhou and Pu Huang and Xun Yu and Zhangjing Yang and Chunxia Zhao},
  journal={Neurocomputing},
  year={2016},
  volume={175},
  pages={188-197}
}
Recently, sparse coding has been widely adopted for data representation in realworld applications. In order to consider the geometric structure of data, we propose a novel method, Local and Global regularized Sparse Coding (LGSC), for data representation. LGSC not only models the global geometric structure by a global regression regularizer, but also takes… CONTINUE READING