Faculty Profiles - TANAKA Yuichiro

Papers - TANAKA Yuichiro

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Self-Organizing Multiple Readouts for Reservoir Computing Reviewed International journal

Tanaka Y., Tamukoh H.

IEEE Access 11 138839 - 138849 2023.12

Traffic Flow Optimization using a Chaotic Boltzmann Machine Annealer on an FPGA Reviewed International journal

Yoshioka K., Tanaka Y., Tamukoh H.

Proceedings - International Conference on Field-Programmable Technology, ICFPT 266 - 267 2023.12

LUTNet-RC: Look-Up Tables Networks for Reservoir Computing on an FPGA Reviewed International journal

Yoshioka K., Tanaka Y., Tamukoh H.

Proceedings - International Conference on Field-Programmable Technology, ICFPT 170 - 178 2023.12

Ensemble Learning of Multiple Readouts for Reservoir Computing Reviewed International journal

Tanaka Yuichiro, Tamukoh Hakaru

IEICE Proceeding Series ( The Institute of Electronics, Information and Communication Engineers ) 76 509 - 512 2023.09

Authorship：Lead author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

This study proposes a reservoir computing model with multiple readouts and an associated training method to enhance the training capability of reservoir computing. This study conducts a speaker classification task and a word classification task using an audio dataset consisting of digits pronounced by six persons. The experimental results reveal that the proposed model with multiple readouts outperforms a conventional model with a single readout.

DOI： 10.34385/proc.76.c3l-11

Kyutacar

CiNii Research

Other Link： https://kyutech.repo.nii.ac.jp/records/2000241

Robust Trash Can Lid Opening System Reviewed International journal

Kosei Isomoto, Yuga Yano, Yuichiro Tanaka, Hakaru Tamukoh

2023 International Workshop on Smart Info-Media Systems in Asia (SISA 2023) 30 - 33 2023.08

FPGA Implementation of a Chaotic Boltzmann Machine Annealer Reviewed International journal

Yoshioka K., Katori Y., Tanaka Y., Nomura O., Morie T., Tamukoh H.

Proceedings of the International Joint Conference on Neural Networks 2023-June 2023.06

Efficient Repetition Coding for Deep Learning Towards Implementation Using Emerging Non-Volatile Memory with Write-Errors Reviewed International journal

Fuengfusin N., Tamukoh H., Tanaka Y., Nomura O., Morie T.

Proceedings of the International Joint Conference on Neural Networks 2023-June 2023.06

In-material reservoir implementation of reservoir-based convolution Reviewed International journal

Tanaka Y., Usami Y., Tanaka H., Tamukoh H.

Proceedings - IEEE International Symposium on Circuits and Systems 2023-May 2023.05

Memory-Efficient Implementation of GMM-MRCoHOG for HumaRecognition Hardware Reviewed

Takemoto R., Nagamine Y., Yoshihiro K., Shibata M., Yamada H., Tanaka Y., Enokida S., Tamukoh H.

Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 4 648 - 655 2023.02

Random network device fabricated using Ag<inf>2</inf>Se nanowires for data augmentation with binarized convolutional neural network Reviewed International journal

Kotooka T., Tanaka Y., Tamukoh H., Usami Y., Tanaka H.

Applied Physics Express 16 ( 1 ) 2023.01

Material computing based on electrochemical dynamics Reviewed

Yuki Usami, Yuichiro Tanaka, Takumi Kotooka, Hakaru Tamukoh, Hirofumi Tanaka

The 4th International Symposium on Neuromorphic AI Hardware 6 - 6 2022.12

Robust Trash Can Lid Opening System Reviewed

Kosei Isomoto, Yuga Yano, Yuichiro Tanaka, Hakaru Tamukoh

The 4th International Symposium on Neuromorphic AI Hardware 46 - 46 2022.12

Hardware-oriented Brain-inspired Model with Memory Accumulation and Recall Functions to Generate Actions of Home Service Robots Reviewed

Akinobu Mizutani, Ichiro Kawashima, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, Takashi Morie

The 4th International Symposium on Neuromorphic AI Hardware 44 - 44 2022.12

Resorvoir-based neuron model to emulate cellular neural activity responding to odor in C. elegans Reviewed

Ryosuke Ishibashi, Takumi Nakamura, Noriko Sato, Takeshi Ishihara, Yuichiro Tanaka, Hakaru Tamukoh, Terumasa Tokunaga

The 4th International Symposium on Neuromorphic AI Hardware 42 - 42 2022.12

Deep Learning Method on Word Level American Sign Language Recognition from Video Reviewed

Arie Rachmad Syulistyo, Yuichiro Tanaka, Hakaru Tamukoh

The 4th International Symposium on Neuromorphic AI Hardware 28 - 28 2022.12

Reservoir-based 1D convolution Reviewed

Yuichiro Tanaka, Hakaru Tamukoh,

The 4th International Symposium on Neuromorphic AI Hardware 12 - 12 2022.12

Reservoir computing in the matter based on electrochemical dynamics Reviewed International journal

Usami Y, Tanaka Y, Tamukoh H, Matsumoto T, van der Wiel W, Tanaka H

16th International Conference on Nanostructured Materials (NANO2022) 2022.06

Reservoir-based convolution Reviewed International journal

Tanaka Yuichiro, Tamukoh Hakaru

Nonlinear Theory and Its Applications, IEICE ( The Institute of Electronics, Information and Communication Engineers ) 13 ( 2 ) 397 - 402 2022.04

Authorship：Lead author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

<p>Reservoir computing (RC) has attracted attention and has been used in many applications because of its low training cost. Multiple studies using RC for image recognition have been proposed, and some have achieved accuracy rates of greater than 99% on the MNIST dataset. For the Fashion-MNIST and CIFAR-10 datasets, however, they have not yet achieved high accuracy. This study proposes a novel convolutional neural network based on RC that can be optimized by ridge regression rather than back-propagation. The reservoir-based network has multiple reservoirs with various leak rates to extract features with various spatial frequencies from the inputs. The experimental results show that the performance of the proposed model achieves higher accuracy rates in the mentioned datasets compared with those of other reservoir-based image recognition approaches.</p>

DOI： 10.1587/nolta.13.397

Kyutacar

Scopus

CiNii Research

Other Link： http://hdl.handle.net/10228/00009117

Hardware-oriented Algorithm for Human Detection using GMM-MRCoHOG Features Reviewed International journal

Takemoto R., Nagamine Y., Yoshihiro K., Shibata M., Yamada H., Tanaka Y., Enokida S., Tamukoh H.

Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 4 749 - 757 2022.02

Applying Center Loss to Multidimensional Feature Space in Deep Neural Networks for Open-set Recognition Reviewed International journal

Daiju Kanaoka, Yuichiro Tanaka, Hakaru Tamukoh

17th International Conference on Computer Vision Theory and Applications (VISAPP2022) 5 359 - 365 2022.02

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Papers - TANAKA Yuichiro