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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 722 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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]
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
NC, MBE
(Joint)
2023-11-27
15:20
Osaka Kindai Univ.
(Primary: On-site, Secondary: Online)
Connection sparsification in hysteresis associative memories
Shinya Kujirai, Toshimichi Saito (HU) NC2023-37
This paper studies stability of multiple equilibrium points in hysteresis neural networks as associative memories. The n... [more] NC2023-37
pp.16-19
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-15
15:30
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
*
Itsuki Akeno, Hiro Yamazaki, Tetsuya Asai, Kota Ando (Hokkaido Univ) VLD2023-41 ICD2023-49 DC2023-48 RECONF2023-44
We propose a processor architecture for neural network (NN) training in edge and prototype it on an FPGA (Field--Program... [more] VLD2023-41 ICD2023-49 DC2023-48 RECONF2023-44
pp.64-69
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-17
14:50
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
Hardware Compression Method Applying Bernoulli Approximation for Bayesian Neural Networks
Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76
This study focuses on efficiently lightweighting Bayesian deep learning algorithms and implementing them on FPGA. It com... [more] VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76
pp.221-226
ET 2023-11-11
14:50
Kagawa Kagawa University Saiwai-cho (Main) Campus / Online
(Primary: On-site, Secondary: Online)
Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification
Yuto Takahashi, Masaki Uto (UEC) ET2023-31
In writing tests, grading by humans can be expensive and is not always sufficiently accurate. To resolve this problem, a... [more] ET2023-31
pp.40-46
SDM 2023-11-10
14:00
Tokyo
(Primary: On-site, Secondary: Online)
Examination of high high-precision device modeling methods -- Comparison of Neural Networks and Linear Regression --
Kengo Nakata, Takayuki Mori, Jiro Ida (Kanazawa Inst. Tech.) SDM2023-71
Neural network (NN) models have the advantage of high inference speed, but they are difficult to modeling. For this reas... [more] SDM2023-71
pp.36-40
SCE 2023-10-31
10:00
Miyagi RIEC, Tohoku Univ.
(Primary: On-site, Secondary: Online)
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits
Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-17
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] SCE2023-17
pp.26-31
BioX 2023-10-12
15:25
Okinawa Nobumoto Ohama Memorial Hall A Study on Ear Acoustic Personal Authentication System Using Domain Transformation for Numerical Analysis Data
Masafumi Morimoto (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2023-60
We propose a new personal authentication system using ear pinna transfer functions.
This proposed method is constructe... [more]
BioX2023-60
pp.12-15
SIS, ITE-BCT 2023-10-13
09:30
Yamaguchi HISTORIA UBE
(Primary: On-site, Secondary: Online)
[Invited Talk] In-sensor Material reservoir computing devices including tactile computing devices for robot applications
Hirofumi Tanaka (Kyutech) SIS2023-20
Reservoir arithmetic elements, which are expected to be used as lighter-task AI hardware systems, were fabricated in ran... [more] SIS2023-20
pp.25-28
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