A Robust Fully Correntropy-Based Sparse Modeling Alternative to Dictionary Learning

Carlos A. Loza. A Robust Fully Correntropy-Based Sparse Modeling Alternative to Dictionary Learning. In Leonard Barolli, Peter Hellinckx, Juggapong Natwichai, editors, Advances on P2P, Parallel, Grid, Cloud and Internet Computing - Proceedings of the 14th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC-2019, Antwerp, Belgium, November 7-9, 2019. Volume 96 of Lecture Notes in Networks and Systems, pages 838-847, Springer, 2019. [doi]

@inproceedings{Loza19-1,
  title = {A Robust Fully Correntropy-Based Sparse Modeling Alternative to Dictionary Learning},
  author = {Carlos A. Loza},
  year = {2019},
  doi = {10.1007/978-3-030-33509-0_79},
  url = {https://doi.org/10.1007/978-3-030-33509-0_79},
  researchr = {https://researchr.org/publication/Loza19-1},
  cites = {0},
  citedby = {0},
  pages = {838-847},
  booktitle = {Advances on P2P, Parallel, Grid, Cloud and Internet Computing - Proceedings of the 14th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC-2019, Antwerp, Belgium, November 7-9, 2019},
  editor = {Leonard Barolli and Peter Hellinckx and Juggapong Natwichai},
  volume = {96},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-030-33509-0},
}