Unsupervised Drift Compensation based on Information Theory for Single-Molecule Sensors

Mohamed Ouqamra, Delphine Bouilly. Unsupervised Drift Compensation based on Information Theory for Single-Molecule Sensors. In 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019, Pittsburgh, PA, USA, October 13-16, 2019. pages 1-6, IEEE, 2019. [doi]

@inproceedings{OuqamraB19,
  title = {Unsupervised Drift Compensation based on Information Theory for Single-Molecule Sensors},
  author = {Mohamed Ouqamra and Delphine Bouilly},
  year = {2019},
  doi = {10.1109/MLSP.2019.8918919},
  url = {https://doi.org/10.1109/MLSP.2019.8918919},
  researchr = {https://researchr.org/publication/OuqamraB19},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019, Pittsburgh, PA, USA, October 13-16, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-0824-7},
}