Towards Unsupervised Learning for Arabic Handwritten Recognition Using Deep Architectures

Mohamed Elleuch, Najiba Tagougui, Monji Kherallah. Towards Unsupervised Learning for Arabic Handwritten Recognition Using Deep Architectures. In Sabri Arik, Tingwen Huang, Weng-Kin Lai, Qingshan Liu, editors, Neural Information Processing - 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part I. Volume 9489 of Lecture Notes in Computer Science, pages 363-372, Springer, 2015. [doi]

@inproceedings{ElleuchTK15-0,
  title = {Towards Unsupervised Learning for Arabic Handwritten Recognition Using Deep Architectures},
  author = {Mohamed Elleuch and Najiba Tagougui and Monji Kherallah},
  year = {2015},
  doi = {10.1007/978-3-319-26532-2_40},
  url = {http://dx.doi.org/10.1007/978-3-319-26532-2_40},
  researchr = {https://researchr.org/publication/ElleuchTK15-0},
  cites = {0},
  citedby = {0},
  pages = {363-372},
  booktitle = {Neural Information Processing - 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part I},
  editor = {Sabri Arik and Tingwen Huang and Weng-Kin Lai and Qingshan Liu},
  volume = {9489},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-26531-5},
}