Restoring partly occluded patterns: a neural network model

@article{Fukushima2005RestoringPO,
  title={Restoring partly occluded patterns: a neural network model},
  author={Kunihiko Fukushima},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2005},
  volume={18 1},
  pages={33-43}
}
This paper proposes a neural network model that has an ability to restore missing portions of partly occluded patterns. It is a multi-layered hierarchical neural network, in which visual information is processed by interaction of bottom-up and top-down signals. Memories of learned patterns are stored in the connections between cells. Occluded parts of a pattern are reconstructed mainly by top-down signals from higher stages of the network, while the unoccluded parts are reproduced mainly by… CONTINUE READING

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