Neural network model restoring partly occluded patterns
Kunihiko Fukushima · International Journal of Knowledge-based and Intelligent Engineering Systems · 2004
Even an identical image is perceived differently by human beings depending on the shape of occluding objects. This paper proposes a neural network model that has an ability to recognize and restore partly occluded patterns in a similar way as our per