A variational method to determine the most representative shape of a set of curves and its application to knee kinematic data for pathology classification

Badreddine Ben Nouma, Neila Mezghani, Amar Mitiche, Youssef Ouakrim. A variational method to determine the most representative shape of a set of curves and its application to knee kinematic data for pathology classification. In Mohamed El Youssfi El Kettani, Chawki Djeddi, Imran Siddiqi, Yaâcoub Hannad, Sankar Kumar Pal, editors, Proceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2018, Rabat, Morocco, March 27-28, 2018. pages 22-26, ACM, 2018. [doi]

@inproceedings{NoumaMMO18,
  title = {A variational method to determine the most representative shape of a set of curves and its application to knee kinematic data for pathology classification},
  author = {Badreddine Ben Nouma and Neila Mezghani and Amar Mitiche and Youssef Ouakrim},
  year = {2018},
  doi = {10.1145/3177148.3180095},
  url = {http://doi.acm.org/10.1145/3177148.3180095},
  researchr = {https://researchr.org/publication/NoumaMMO18},
  cites = {0},
  citedby = {0},
  pages = {22-26},
  booktitle = {Proceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2018, Rabat, Morocco, March 27-28, 2018},
  editor = {Mohamed El Youssfi El Kettani and Chawki Djeddi and Imran Siddiqi and Yaâcoub Hannad and Sankar Kumar Pal},
  publisher = {ACM},
}