Increased Robustness against Background Noise: Pattern Recognition by a Neocognitron
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-17534-3_71
Reference5 articles.
1. Fukushima, K.: Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics 36, 193–202 (1980)
2. Fukushima, K.: Neocognitron for handwritten digit recognition. Neurocomputing 51, 161–180 (2003)
3. Fukushima, K.: Neocognitron trained with winner-kill-loser rule. Neural Networks 23, 926–938 (2010)
4. Riesenhuber, M., Poggio, T.: Hierarchical models of object recognition in cortex. Nature Neuroscience 2, 1019–1025 (1999)
5. ETL1 database, http://www.is.aist.go.jp/etlcdb/#English
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