Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. In Cesare Alippi, Marios M. Polycarpou, Christos G. Panayiotou, Georgios Ellinas, editors, Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II. Volume 5769 of Lecture Notes in Computer Science, pages 416-425, Springer, 2009. [doi]

@inproceedings{ComeODA09-0,
  title = {Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis},
  author = {Etienne Côme and Latifa Oukhellou and Thierry Denoeux and Patrice Aknin},
  year = {2009},
  doi = {10.1007/978-3-642-04277-5_42},
  url = {http://dx.doi.org/10.1007/978-3-642-04277-5_42},
  tags = {application framework, analysis, constraints},
  researchr = {https://researchr.org/publication/ComeODA09-0},
  cites = {0},
  citedby = {0},
  pages = {416-425},
  booktitle = {Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II},
  editor = {Cesare Alippi and Marios M. Polycarpou and Christos G. Panayiotou and Georgios Ellinas},
  volume = {5769},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-04276-8},
}