How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?

Unai Elordi, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui. How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?. In Francisco José Perales López, Josef Kittler, editors, Articulated Motion and Deformable Objects - 10th International Conference, AMDO 2018, Palma de Mallorca, Spain, July 12-13, 2018, Proceedings. Volume 10945 of Lecture Notes in Computer Science, pages 24-33, Springer, 2018. [doi]

@inproceedings{ElordiUAO18,
  title = {How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?},
  author = {Unai Elordi and Luis Unzueta and Ignacio Arganda-Carreras and Oihana Otaegui},
  year = {2018},
  doi = {10.1007/978-3-319-94544-6_3},
  url = {https://doi.org/10.1007/978-3-319-94544-6_3},
  researchr = {https://researchr.org/publication/ElordiUAO18},
  cites = {0},
  citedby = {0},
  pages = {24-33},
  booktitle = {Articulated Motion and Deformable Objects - 10th International Conference, AMDO 2018, Palma de Mallorca, Spain, July 12-13, 2018, Proceedings},
  editor = {Francisco José Perales López and Josef Kittler},
  volume = {10945},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-94544-6},
}