Kunihiko Fukushima

Affiliations: 
Tokyo University of Technology, Hachiōji-shi, Tōkyō-to, Japan 
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"Kunihiko Fukushima"
Mean distance: 16.45 (cluster 17)
 
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Publications

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Fukushima K. (2019) Efficient IntVec: High recognition rate with reduced computational cost. Neural Networks : the Official Journal of the International Neural Network Society. 119: 323-331
Fukushima K. (2017) Margined winner-take-all: New learning rule for pattern recognition. Neural Networks : the Official Journal of the International Neural Network Society. 97: 152-161
Fukushima K, Shouno H. (2015) Deep convolutional network neocognitron: Improved Interpolating-Vector Proceedings of the International Joint Conference On Neural Networks. 2015
Fukushima K. (2013) Training multi-layered neural network neocognitron. Neural Networks : the Official Journal of the International Neural Network Society. 40: 18-31
Fukushima K. (2013) Artificial vision by multi-layered neural networks: neocognitron and its advances. Neural Networks : the Official Journal of the International Neural Network Society. 37: 103-19
Fukushima K. (2011) Increasing robustness against background noise: visual pattern recognition by a neocognitron. Neural Networks : the Official Journal of the International Neural Network Society. 24: 767-78
Fukushima K. (2010) Neocognitron trained with winner-kill-loser rule. Neural Networks : the Official Journal of the International Neural Network Society. 23: 926-38
Fukushima K. (2010) Neural network model for completing occluded contours. Neural Networks : the Official Journal of the International Neural Network Society. 23: 528-40
Fukushima K. (2008) Neural network capable of amodal completion Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 376-385
Fukushima K, Kikuchi M. (2006) Symmetry axis extraction by a neural network Neurocomputing. 69: 1827-1836
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