Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources

Shunji Satoh, Shogo Miyake, Hirotomo Aso. Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources. In José Mira, Alberto Prieto, editors, Connectionist Models of Neurons, Learning Processes and Artificial Intelligence, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I. Volume 2084 of Lecture Notes in Computer Science, pages 215-222, Springer, 2001. [doi]

@inproceedings{SatohMA01,
  title = {Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources},
  author = {Shunji Satoh and Shogo Miyake and Hirotomo Aso},
  year = {2001},
  url = {http://link.springer.de/link/service/series/0558/bibs/2084/20840215.htm},
  researchr = {https://researchr.org/publication/SatohMA01},
  cites = {0},
  citedby = {0},
  pages = {215-222},
  booktitle = {Connectionist Models of Neurons, Learning Processes and Artificial Intelligence, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I},
  editor = {José Mira and Alberto Prieto},
  volume = {2084},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-42235-8},
}