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Neocognitron

Known as: Fukushima Kunihiko, Kunihiko Fukushima 
The neocognitron is a hierarchical, multilayered artificial neural network proposed by Kunihiko Fukushima in the 1980s. It has been used for… Expand
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Papers overview

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2010
2010
Understanding invariance and discrimination properties of hierarchical models is arguably the key to understanding how and why… Expand
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Highly Cited
2009
Highly Cited
2009
We propose a five-layer hierarchical space-time model (HSTM) for representing and searching human actions in videos. From a… Expand
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Highly Cited
2003
Highly Cited
2003
The author previously proposeda neural network mod el neocognitron for robust visual pattern recognition. This paper proposes an… Expand
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1990
1990
A neural network model of visual pattern recognition, called the “neocognitron”, was previously proposed by the author. It is… Expand
Highly Cited
1990
Highly Cited
1990
Abstract We investigate the ability of the neocognitron to perform shift-invariant pattern recognition. Both an intuitive… Expand
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Highly Cited
1988
Highly Cited
1988
A neural network model for visual pattern recognition, called the "neocognitron, "' was previously proposed by the author In this… Expand
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Highly Cited
1983
Highly Cited
1983
A recognition with a large-scale network is simulated on a PDP-11/34 minicomputer and is shown to have a great capability for… Expand
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Highly Cited
1982
Highly Cited
1982
Abstract Suggested by the structure of the visual nervous system, a new algorithm is proposed for pattern recognition. This… Expand
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Highly Cited
1982
Highly Cited
1982
A neural network model, called a “neocognitron”, is proposed for a mechanism of visual pattern recognition. It is demonstrated by… Expand