A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification

Xinhua Zhang, Garrett T. Kenyon. A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification. In Junichi Suzuki, Tadashi Nakano, Henry Hess, editors, BICT 2015, Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS), New York City, United States, December 3-5, 2015. pages 529-534, ICST/ACM, 2015. [doi]

@inproceedings{ZhangK15-14,
  title = {A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification},
  author = {Xinhua Zhang and Garrett T. Kenyon},
  year = {2015},
  url = {http://dl.acm.org/citation.cfm?id=2954735},
  researchr = {https://researchr.org/publication/ZhangK15-14},
  cites = {0},
  citedby = {0},
  pages = {529-534},
  booktitle = {BICT 2015, Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS), New York City, United States, December 3-5, 2015},
  editor = {Junichi Suzuki and Tadashi Nakano and Henry Hess},
  publisher = {ICST/ACM},
  isbn = {978-1-63190-100-3},
}