Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICTSSL, CAS |
2024-01-25 11:45 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Comparison of transfer learning and fine tuning Ohata Shunsuke, Okazaki Hideaki (SIT) CAS2023-88 ICTSSL2023-41 |
This report examines the principal image recognition methods. First, we show the experimental results of image recogniti... [more] |
CAS2023-88 ICTSSL2023-41 pp.31-33 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 10:00 |
Tokushima |
Naruto University of Education |
Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-85 MICT2023-40 MBE2023-31 |
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] |
NLP2023-85 MICT2023-40 MBE2023-31 pp.12-15 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 09:00 |
Tokushima |
Naruto University of Education |
The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45 |
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] |
NLP2023-99 MICT2023-54 MBE2023-45 pp.78-81 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 11:50 |
Tokushima |
Naruto University of Education |
Optimization of synaptic scaling rule, its implementation on modular spiking neural networks and analysis of its affects Takumi Shinkawa, Hideyuki Kato (Oita Univ.), Yoshitaka Ishikawa (FUN), Takuma Sumi, Hideaki Yamamoto (Tohoku Univ.), Yuichi Katori (FUN) NLP2023-107 MICT2023-62 MBE2023-53 |
In this study, to theoretically investigate the information processing mechanisms in the brain, we optimized synaptic sc... [more] |
NLP2023-107 MICT2023-62 MBE2023-53 pp.110-113 |
SCE |
2024-01-23 13:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Talk]
Research on Novel Binary Neural Processing Elements Using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yamanashi Yuki, Yoshikawa Nobuyuki (Yokohama National Univ.) SCE2023-23 |
Superconducting convolutional neural networks, based on single flux quantum (SFQ) circuits, hold significant potential d... [more] |
SCE2023-23 pp.1-6 |
EMT, PN, MWPTHz, IEE-EMT [detail] |
2024-01-22 10:55 |
Kyoto |
Kyoto Univ. Yoshida Campus |
Transmission Characteristics Adaptation of a Microstrip Line Filters Using the Transformer Keiichiro Yamada, Takashi Kuroki, Naoki Miyata (TMCIT) PN2023-49 EMT2023-89 MWPTHz2023-77 |
This paper presents new technique for inverse model that can be proposed geometrical parameters of microwave circuit fro... [more] |
PN2023-49 EMT2023-89 MWPTHz2023-77 pp.11-16 |
SeMI |
2024-01-18 13:30 |
Yamanashi |
Raki House Kaiji |
Enhancing Human Skeleton Estimation with Multi-Frame mmWave Radar Point Cloud-based Method Xintong Shi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-52 |
Millimeter-Wave (mmWave) radar-based skeleton estimation has emerged as a focal point in the realm of human motion analy... [more] |
SeMI2023-52 pp.18-21 |
SIP, IT, RCS |
2024-01-18 16:45 |
Miyagi |
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Offset Optimization Using Neural Networks for Cell Range Expansion Mitsuto Sato, Yuki Kusaka, Nobuhiko Miki (Kagawa Univ.) IT2023-47 SIP2023-80 RCS2023-222 |
Initiating commercial services globally, fifth-generation mobile communication systems (5G) are expanding quickly. In 5G... [more] |
IT2023-47 SIP2023-80 RCS2023-222 pp.88-92 |
OCS, CS (Joint) |
2024-01-12 10:20 |
Kagoshima |
|
Experimental Demonstration of 1200-km Transmission of a 4096-ary Eigenvalue-modulated Signal Ryotaro Harada (Osaka Univ.), Tsuyoshi Yoshida (Mitsubishi Electric Corporation), Daisuke Hisano, Akihiro Maruta, Ken Mishina (Osaka Univ.) OCS2023-64 |
In recent years, optical eigenvalue communication based on inverse scattering transform has attracted much attention bec... [more] |
OCS2023-64 pp.37-42 |
HIP |
2023-12-21 11:00 |
Miyagi |
Research Institute of Electrical Communication |
Natural finger-tapping tempo reflects intrinsic neurophysiological characteristics
-- Neural correlates of natural tempo -- Sai Sun (Tohoku Univ.), Daw-An Wu, Mohammad Shehata (Caltech), Takuya Akashi, Morimichi Furudate (Iwate Univ.), Chao Zhang (Fukui Univ.), Ken-Ichiro Tsutsui, Satoshi Shioiri (Tohoku Univ.), Shinsuke Shimojo (Caltech) HIP2023-77 |
Individuals often have a natural rhythm or speed in their motor activities, such as walking and talking. What remains la... [more] |
HIP2023-77 pp.5-12 |
IBISML |
2023-12-20 15:20 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
Stabilization and Acceleration of Stochastic Gradient Descent Based on Eigenvalue Decomposition of the Fisher Information Matrix Masazumi Iida, Yoshinari Takeishi (Kyushu Univ.), Siyang Wang (Umea Univ.), Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-32 |
By using approximated eigen-decomposition of the Fisher information matrix, the Stabilizer method was recently developed... [more] |
IBISML2023-32 pp.13-17 |
IBISML |
2023-12-21 10:55 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
On the benefits of Partial Stochastic Bayesian Neural Networks Koki Sato, Daniel Andrade (Hiroshima Univ.) IBISML2023-36 |
Bayesian neural networks (BNNs) can model uncertainty in the prediction results better than ordinary neural networks. Ho... [more] |
IBISML2023-36 pp.37-41 |
QIT (2nd) |
2023-12-17 17:30 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Analyze convergence of Quantum-Neural -Networks in the over-parametrized regime Kaito Tanaka (Keio Univ.), Naoki Yamamoto (KQCC) |
Quantum neural networks (QNN) are one of the quantum-classical hybrid algorithms, which can be realized with the current... [more] |
|
QIT (2nd) |
2023-12-17 17:30 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Data-distributed machine-learning method for neural networks using quantum annealing Kosuke Nakanishi (Kyoto Univ.) |
A method for learning neural networks using quantum annealing (CQNN) has been proposed in previous research. This method... [more] |
|
NS, RCS (Joint) |
2023-12-14 16:00 |
Fukuoka |
Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Evaluation of HttpRequest anomaly detection model using fastText and convolutional autoencoder Haruta Yamada, Ryoichi Kawahara (Toyo Univ.) NS2023-133 |
With the advent of the Internet and its close connection to people's lives, web applications are becoming increasingly i... [more] |
NS2023-133 pp.42-47 |
MRIS, ITE-MMS |
2023-12-08 09:30 |
Ehime |
Ehime Univ. (CITE) (Primary: On-site, Secondary: Online) |
Performance evaluation of SP decoding considering the influence of recording pattern using neural network Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (Niigata Ins. of Tec.), Yoshihiro Okamoto (Ehime Univ.) MRIS2023-27 |
We study an LDPC (low-density parity-check) encoding and iterative decoding method which combines LDPC codes and SP (sum... [more] |
MRIS2023-27 pp.30-35 |
NLP |
2023-11-28 10:00 |
Okinawa |
Nago city commerce and industry association |
Application of associative memories to S-P chart Kazuma Kiyohara, Toshimichi Saito (HU) NLP2023-59 |
This paper studies clustering methods for binary data based on nonlinear dynamics in associative memories (AM).
The... [more] |
NLP2023-59 pp.1-6 |
NLP |
2023-11-28 13:50 |
Okinawa |
Nago city commerce and industry association |
Considerations on the distribution of latent variables in CNNs Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65 |
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] |
NLP2023-65 pp.31-34 |
NLP |
2023-11-29 10:40 |
Okinawa |
Nago city commerce and industry association |
A Study on General Purpose Data Transmission Scheme Using SD-CNN with Coupled Cells Koki Koase (Chukyo Univ.), Ryoichi Shibata (Aiphon Co.), Hideharu Toda (Chukyo Univ.), Taishi Iriyama (Saitama Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-71 |
The sigma-delta cellular neural network (SD-CNN) is an artificial vision system that mimics the retina of biology. SD-CN... [more] |
NLP2023-71 pp.53-56 |
PEM (Workshop) |
2023-11-27 - 2023-11-28 |
Hokkaido |
Hokkaido Univ. Frontier Research in Applied Sciences Building |
Improvement of Prediction Accuracy of Magnetic Field-Based Positioning with a High-Isolation Relay Circuit Kouga Miyaji, Ai-ichiro Sasaki (Kindai Univ.) |
Magnetic field-based positioning (MFP) is expected as a method that can establish accurate indoor positioning systems. W... [more] |
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