Improving Quality of Training Samples Through Exhaustless Generation and Effective Selection for Deep Convolutional Neural Networks

Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi. Improving Quality of Training Samples Through Exhaustless Generation and Effective Selection for Deep Convolutional Neural Networks. In José Braz, Sebastiano Battiato, Francisco H. Imai, editors, VISAPP 2015 - Proceedings of the 10th International Conference on Computer Vision Theory and Applications, Volume 2, Berlin, Germany, 11-14 March, 2015. pages 228-235, SciTePress, 2015. [doi]

@inproceedings{YamashitaWYF15,
  title = {Improving Quality of Training Samples Through Exhaustless Generation and Effective Selection for Deep Convolutional Neural Networks},
  author = {Takayoshi Yamashita and Taro Watasue and Yuji Yamauchi and Hironobu Fujiyoshi},
  year = {2015},
  doi = {10.5220/0005263802280235},
  url = {http://dx.doi.org/10.5220/0005263802280235},
  researchr = {https://researchr.org/publication/YamashitaWYF15},
  cites = {0},
  citedby = {0},
  pages = {228-235},
  booktitle = {VISAPP 2015 - Proceedings of the 10th International Conference on Computer Vision Theory and Applications, Volume 2, Berlin, Germany, 11-14 March, 2015},
  editor = {José Braz and Sebastiano Battiato and Francisco H. Imai},
  publisher = {SciTePress},
  isbn = {978-989-758-090-1},
}