K. Fukushima

Kunihiko Fukushima, K. Fukushima, Kazuya Yoshimoto, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Self-organizing neural network models for visual pattern recognition.

K. Fukushima, 1987, Acta neurochirurgica. Supplementum.

Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron

K. Fukushima, S. Miyake, 2020 .

Extraction of visual motion and optic flow

K. Fukushima, 2007, Neural Networks.

Modeling Visual Ventral Pathway Based on the Neocognitron

K. Fukushima, M. Okada, Hayaru Shouno, 2008 .

Pattern recognition with eye movement: a neural network model

Masayuki Kikuchi, Kunihiko Fukushima, K. Fukushima, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Artificial Neural Networks for Vision ( Invited Paper )

K. Fukushima, 2007 .

Modular Structure of Neocognitron to Pattern Recognition

Kunihiko Fukushima, José Hiroki Saito, J. H. Saito, 1998, International Conference on Neural Information Processing.

A Computational Model of Stereopsis Using a Stereoscopic Neocognitron

Kunihiko Fukushima, Warren Becraft, K. Fukushima, 1993 .

Face Recognition by Multi-resolution Neural Network

Kunihiko Fukushima, Masaru Tezuka, K. Fukushima, 1994 .

Speed Invariant Speech Recognition Recognition Using Variable Velocity Delay-Lines

Kunihiko Fukushima, Kouichirou Yamauchi, Megumn Fukuda, 1994 .

Recognition and segmentation of characters in handwriting with selective attention

Kunihiko Fukushima, Taro Imagawa, K. Fukushima, 1992 .

A Neural Network Model for Detecting the Motion of an Object Whose Vertexes are Masked

Masayuki Kikuchi, Kunihiko Fukushima, H. Matsuda, 1997, ICONIP.

2-1 Image Processing by Computer (2. Electronics in Image Processing) ( Electronic Image Technology)

Kunihiko Fukushima, K. Fukushima, 1972 .

Examination of implementing a neural network on a parallel computer — NEOCOGNITRON on NCUBE

Takayuki Ito, Kunihiko Fukushima, Sei Miyake, 1991 .

ネオコグニトロン：Deep Convolutional Neural Network

Kunihiko Fukushima, K. Fukushima, 2015 .

Recognition of Handwritten Digits in the Real World by a Neocognitron

Masato Okada, Hayaru Shouno, Kunihiko Fukushima, 1999, KNOWLEDGE-BASED INTELLIGENT TECHNIQUES in CHARACTER RECOGNITION.

Recognition and segmentation of facial components using selective attention mechanism

Hideki Hashimoto, Kunihiko Fukushima, K. Fukushima, 1999, Systems and Computers in Japan.

Modeling Visi 44. Modeling Vision with the Neocognitron

Kunihiko Fukushima, K. Fukushima, 2014 .

Improved Learning Method for the Neocognitron

Kunihiko Fukushima, Nobuaki Wake, K. Fukushima, 1992 .

Neural Network Model Completing Occluded Contour

Masayuki Kikuchi, Koichi Anada, Kunihiko Fukushima, 1998, International Conference on Neural Information Processing.

Handwritten Digit Recognition by a Neocognitron with Improved Bend-Extractors

Hayaru Shouno, Kunihiko Fukushima, Eiji Kimura, 1998, ICSC Symposium on Neural Computation.

Neocognitoron with New Mechanism of Bend-detector

Hayaru Shouno, Kunihiko Fukushima, Eiji Kimura, 1998 .

Bi-stable concept states in associative memory model

Masato Okada, Kunihiko Fukushima, Kaname Toya, 1997 .

Recognition and segmentation of facial components using selective attention mechanism

Hideki Hashimoto, Kunihiko Fukushima, K. Fukushima, 1999, Systems and Computers in Japan.

Structure from Stereopsis without Point-to-Point Correspondence

Osamu Watanabe, Kunihiko Fukushima, K. Fukushima, 1997 .

Correction to "Visual Feature Extraction by a Multilayered Network of Analog Threshold Elements"

Kunihiko Fukushima, K. Fukushima, 1970, IEEE Transactions on Systems Science and Cybernetics.

Eye Movement Model Based on Non-Uniformity of the Retina and Feature Extraction in the Cortex

Toru Aonishi, Kunihiko Fukushima, K. Fukushima, 1994 .

A Stereo Algorithm with Occlusion Constraint

Osamu Watanabe, Kunihiko Fukushima, K. Fukushima, 1997 .

Self-Organization of Orientation Columns in Area V1 by Synaptic Competition

Kunihiko Fukushima, Hiroyuki Tajima, K. Fukushima, 2001 .

2. Electronics in Image Processing

Kunihiko Fukushima, K. Fukushima, 1972 .

Special issue on human mimetics. Modeling visual systems for visual pattern recognition.

Kunihiko Fukushima, K. Fukushima, 1989 .

Pattern Recognition Research for the Future

Kunihiko Fukushima, K. Fukushima, 1994 .

Neural Network for Selective Looking

Kunihiko Fukushima, K. Fukushima, 1994 .

Special Issue Image Processing. 2. Enriching the Technology of Image Processing. 2-1 Artificial Neural Networks.

Kunihiko Fukushima, K. Fukushima, 1992 .

Neocognitron: a model for visual pattern recognition

Kunihiko Fukushima, K. Fukushima, 1998 .

Artificial intelligence and image processing technologies. Biocybernetic approach to pattern recognition.

Kunihiko Fukushima, K. Fukushima, 1987 .

Neocognitron trained by winner-kill-loser with triple threshold

Isao Hayashi, Kunihiko Fukushima, Jasmin Léveillé, 2014, Neurocomputing.

A neural network model for selective attention in visual pattern recognition

Kunihiko Fukushima, K. Fukushima, 1986, Biological cybernetics.

SELF-ORGANIZING MULTILAYERED NEURAL NETWORK.

K. Fukushima, 1975 .

Invariant pattern recognition with eye movement: A neural network model

Masayuki Kikuchi, Kunihiko Fukushima, K. Fukushima, 2001, Neurocomputing.

A Probabilistic WKL Rule for Incremental Feature Learning and Pattern Recognition

Isao Hayashi, Kunihiko Fukushima, Jasmin Léveillé, 2014, J. Adv. Comput. Intell. Intell. Informatics.

Selective Motion Analysis Based on Dynamic Visual Saliency Map Model

Minho Lee, Inwon Lee, Kunihiko Fukushima, 2006, ICAISC.

Neural network model for extracting optic flow

Kunihiko Fukushima, Kazuya Tohyama, K. Fukushima, 2005, Neural Networks.

Neural Network Model of the Visual System: Binding Form and Motion

Masayuki Kikuchi, Kunihiko Fukushima, K. Fukushima, 1996, Neural Networks.

Speed invariant speech recognition using variable velocity delay lines

Kunihiko Fukushima, Kouichirou Yamauchi, Megumu Fukuda, 1995, Neural Networks.

A neural network for visual pattern recognition

Kunihiko Fukushima, K. Fukushima, 1988, Computer.

Modeling Vision with the Neocognitron

Kunihiko Fukushima, K. Fukushima, 2014 .

Artificial vision by multi-layered neural networks: Neocognitron and its advances

Kunihiko Fukushima, K. Fukushima, 2013, Neural Networks.

Neocognitron trained with winner-kill-loser rule

Kunihiko Fukushima, K. Fukushima, 2010, Neural Networks.

Interpolating vectors for robust pattern recognition

Kunihiko Fukushima, K. Fukushima, 2007, Neural Networks.

Interpolating Vectors: Powerful Algorithm for Pattern Recognition

Kunihiko Fukushima, K. Fukushima, 2007, ICONIP.

Artificial Vision by Deep CNN Neocognitron

Kunihiko Fukushima, K. Fukushima, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Connected character recognition with a neural network

Kunihiko Fukushima, K. Fukushima, 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

Stereo algorithm that extracts a depth cue from interocularly unpaired points

Osamu Watanabe, Kunihiko Fukushima, K. Fukushima, 1999, Neural Networks.

Training multi-layered neural network neocognitron

Kunihiko Fukushima, K. Fukushima, 2013, Neural Networks.

Neural network model for completing occluded contours

Kunihiko Fukushima, K. Fukushima, 2010, Neural Networks.

Increasing robustness against background noise: Visual pattern recognition by a neocognitron

Kunihiko Fukushima, K. Fukushima, 2011, Neural Networks.

Recent Advances in the Neocognitron

Kunihiko Fukushima, K. Fukushima, 2007, ICONIP.

Robust Pattern Recognition by Interpolating Vectors

Kunihiko Fukushima, K. Fukushima, 2007, 2007 International Joint Conference on Neural Networks.

Neural Network Model for Extracting Optic Flow

Kunihiko Fukushima, K. Fukushima, K. Tohyama, 2005, ICANN.

Symmetry axis extraction by a neural network

Masayuki Kikuchi, Kunihiko Fukushima, K. Fukushima, 2006, Neurocomputing.

Modeling Neural Networks for Artificial Vision

Kunihiko Fukushima, K. Fukushima, 2006 .

Neocognitron with improved bend-extractors: Recognition of handwritten digits in the real world

Hayaru Shouno, Kunihiko Fukushima, Eiji Kimura, 1998, Neural Computing & Applications.

Use of non-uniform spatial blur for image comparison: symmetry axis extraction

Kunihiko Fukushima, K. Fukushima, 2005, Neural Networks.

Neural network model restoring partly occluded patterns

Kunihiko Fukushima, K. Fukushima, 2003, Int. J. Knowl. Based Intell. Eng. Syst..

Assignment of Figural Side to Contours Based on Symmetry, Parallelism, and Convexity

Masayuki Kikuchi, Kunihiko Fukushima, K. Fukushima, 2003, KES.

Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths

Kunihiko Fukushima, K. Fukushima, 2003, ICANN.

Neocognitron of a new version: handwritten digit recognition

Kunihiko Fukushima, K. Fukushima, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Active and Adaptive Vision: Neural Network Models

Kunihiko Fukushima, K. Fukushima, 2000, Biologically Motivated Computer Vision.

Recognition of occluded patterns: a neural network model

Kunihiko Fukushima, K. Fukushima, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Self-Organization of Shift-Invariant Receptive Fields through Pre- and Post-Synaptic Competition

Kunihiko Fukushima, Kazuya Yoshimoto, K. Fukushima, 1998, ICONIP.

Neocognitron with improved bend-extractors

Hayaru Shouno, Eiji Kimura, Kunihiko Fukushima, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Neocognitron with Improved Bend-Extractors: of Handwritten Digits in the Real World

K. Fukushima, Eiji Kimura, H. Shouno, 1998 .

Recognition and Segmentation of Components of a Face by a Multi-Resolution Neural Network

Hideki Hashimoto, Kunihiko Fukushima, K. Fukushima, 1997, ICANN.

Neural Network Model of Spatial Memory: Associative Recall of Maps

Yoshio Yamaguchi, Masato Okada, Kunihiko Fukushima, 1997, Neural Networks.

Training neocognitron to recognize handwritten digits in the real world

Hayaru Shouno, Kunihiko Fukushima, K. Nagahara, 1997, Proceedings of IEEE International Symposium on Parallel Algorithms Architecture Synthesis.

Use of different thresholds in learning and recognition

Masashi Tanigawa, Kunihiko Fukushima, K. Fukushima, 1996, Neurocomputing.

Connected character recognition in cursive handwriting using selective attention model with bend processing

Hayaru Shouno, Kunihiko Fukushima, K. Fukushima, 1994, Systems and Computers in Japan.

Neocognitron learning by backpropagation

Kunihiko Fukushima, Masato Okada, Michihiro Ohno, 1995, Systems and Computers in Japan.

Neocognitron with dual C-cell layers

Masato Okada, Kunihiko Fukushima, Kazuhito Hiroshige, 1994, Neural Networks.

How to adjust the thresholds of feature-extracting cells in the neocognitron

Masashi Tanigawa, Kunihiko Fukushima, K. Fukushima, 1994, Systems and Computers in Japan.

Neural network for connected character recognition

Kunihiko Fukushima, K. Fukushima, 1993, Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Neocognitron with Non-uniform Receptive Fields

Masato Okada, Kunihiko Fukushima, Kouichirou Yamauchi, 1993 .

Character recognition in cursive handwriting with the mechanism of selective attention

Kunihiko Fukushima, Taro Imagawa, K. Fukushima, 1993, Systems and Computers in Japan.

Recognition and segmentation of connected characters with selective attention

Kunihiko Fukushima, Taro Imagawa, K. Fukushima, 1993, Neural Networks.

Visual Pattern Recognition with Neural Networks

Kunihiko Fukushima, K. Fukushima, 1992, ICPIA.

ALPHANUMERIC CHARACTER RECOGNITION BY THE NEOCOGNITRON

Kunihiko Fukushima, Nobuaki Wake, K. Fukushima, 1990 .

A neural network model for associative recall of maps

Yoshio Yamaguchi, Masato Okada, Kunihiko Fukushima, 1998, Systems and Computers in Japan.

Neural network model of spatial memory

Kunihiko Fukushima, Y. Yamaguchi, K. Fukushima, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Margined Winner-Take-All: New learning rule for pattern recognition

Kunihiko Fukushima, K. Fukushima, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Deep convolutional network neocognitron: Improved Interpolating-Vector

Hayaru Shouno, Kunihiko Fukushima, K. Fukushima, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Automatic Design of Neural Network Structures Using AiS

Toshisada Mariyama, Wataru Matsumoto, Kunihiko Fukushima, 2016, ICONIP.

A Deep Neural Network Architecture Using Dimensionality Reduction with Sparse Matrices

Petros Boufounos, Manabu Hagiwara, Toshisada Mariyama, 2016, ICONIP.

A model of associative memory in the brain

Kunihiko Fukushima, K. Fukushima, 1973, Kybernetik.

Visual Feature Extraction by a Multilayered Network of Analog Threshold Elements

K. Fukushima, 1969, IEEE Trans. Syst. Sci. Cybern..

A feature extractor for curvilinear patterns

K. Fukushima, K. Fukushima, 1970 .

Neocognitron: A neural network model for a mechanism of visual pattern recognition

K. Fukushima, S. Miyake, Takayuki Ito, 1983, IEEE Transactions on Systems, Man, and Cybernetics.

Online learning of feature detectors from natural images with the probabilistic WKL rule

Isao Hayashi, Kunihiko Fukushima, Jasmin Léveillé, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Neural network model for selective attention in visual pattern recognition and associative recall.

K. Fukushima, 1987, Applied optics.

2005 Special Issue: Neural network model for extracting optic flow

K. Fukushima, K. Tohyama, 2005 .

Visual Motion Analysis by a Neural Network

K. Fukushima, 2007 .

Original Contribution: Recognition and segmentation of connected characters with selective attention

K. Fukushima, T. Imagawa, 1993 .

Recent advances in the deep CNN neocognitron

Kunihiko Fukushima, K. Fukushima, 2019, Nonlinear Theory and Its Applications, IEICE.

Neocognitron capable of incremental learning

Kunihiko Fukushima, K. Fukushima, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..