Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights

Martijn Bousse, Lieven De Lathauwer. Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights. In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, Curaçao, The Netherlands, December 10-13, 2017. pages 1-5, IEEE, 2017. [doi]

@inproceedings{BousseL17,
  title = {Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights},
  author = {Martijn Bousse and Lieven De Lathauwer},
  year = {2017},
  doi = {10.1109/CAMSAP.2017.8313141},
  url = {https://doi.org/10.1109/CAMSAP.2017.8313141},
  researchr = {https://researchr.org/publication/BousseL17},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, Curaçao, The Netherlands, December 10-13, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-1251-4},
}