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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 348  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2024-05-16
15:10
Tokyo
(Primary: On-site, Secondary: Online)
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering
Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) PRMU2024-5
We proposed a novel method for generating incorrect pairs to enhance learning performance in CLIP's contrastive learning... [more] PRMU2024-5
pp.24-29
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) An improvement method and security evaluation for the method of protecting ownership using digital watermark
Dung Ta Anh, Hidema Tanaka (NDA) IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58
Since developing high-performance AI models requires significant time and cost, it is common to customize publicly avail... [more] IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58
pp.5-11
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-13
10:40
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Drum transcription based on periodicity between bars
Masaki Suga, Tetsuya Matsumoto (Nagoyoa Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoyoa Univ.) IMQ2023-27 IE2023-82 MVE2023-56
Automatic musical score estimation from acoustic signals has been studied for a long time. In this study, acoustic signa... [more] IMQ2023-27 IE2023-82 MVE2023-56
pp.81-86
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
15:40
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
A study on figure skater's motion analysis for AI based jump classification
Tomoya Tsubai, Nobutaka Kuroki, Masahiro Numa (Kobe Univ.) IMQ2023-53 IE2023-108 MVE2023-82
This paper proposes a method for recording time-series data from MediaPipe Pose and a method for configuring a neural ne... [more] IMQ2023-53 IE2023-108 MVE2023-82
pp.220-223
NC, MBE
(Joint)
2024-03-12
14:45
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Investigating the Effect of Skip Connection on Learning Dynamics in the Initial Learning Process of Deep Neural Networks
Ryodo Yuge, Takashi Shinozaki (Kindai Univ.) NC2023-59
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] NC2023-59
p.94
ET 2024-03-02
14:15
Miyazaki Miyazaki University Proposal for a visualization system to assist in learning the Python programming language.
Masanori Ohshiro, Yasuo Nagai (TUIS) ET2023-60
The authors have long believed that visualization tools are effective for learning programming languages,and have develo... [more] ET2023-60
pp.48-52
AI 2024-03-01
13:40
Aichi Room0221, Bldg.2-C, Nagoya Institute of Technology Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem
Dongyeop Kim, Toshihiro Matsui (NITech) AI2023-39
In this study, we introduce a method combining Graph Neural Networks (GNN) and reinforcement learning for the Multiple D... [more] AI2023-39
pp.13-18
CNR, BioX 2024-02-29
13:30
Tokyo NHK Science & Technology Research Laboratories
(Primary: On-site, Secondary: Online)
Design of Aerial dialing PIN code input authentication system using deep learning hand shape authentication
Jun Wang, Bo Wu, Kiminori Sato (TUT) BioX2023-70 CNR2023-37
With the continuous development of modern technology, the demand for contactless authentication is increasing, and a sim... [more] BioX2023-70 CNR2023-37
pp.1-6
CNR, BioX 2024-02-29
14:30
Tokyo NHK Science & Technology Research Laboratories
(Primary: On-site, Secondary: Online)
Proposal of a Contactless Dial Lock Authentication System using Eye Blinks
Kaiya Yokokura, Bo Wu, Kiminori Sato (TUT) BioX2023-72 CNR2023-39
In this paper, we introduce a contactless dial lock authentication system utilizing blinking eye movements. The system e... [more] BioX2023-72 CNR2023-39
pp.13-17
SR 2024-01-25
13:25
Nagano Nagano-ken JA building
(Primary: On-site, Secondary: Online)
[Short Paper] A Performance Evaluation on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA
Kaito Sawada, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2023-73
Non-Orthogonal Multiple Access (NOMA) technology has attracted much attention in order to improve frequency utilization ... [more] SR2023-73
pp.25-27
CQ, CBE
(Joint)
2024-01-26
13:40
Kumamoto Kurokawa-Onsen
(Primary: On-site, Secondary: Online)
Image analysis technology for estimating the optimum tomato harvest timing and developed AI camera
Yasuhiro Okabe, Takefumi Hiraguri, Keita Endo, Naoki Yamada (NIT) CQ2023-66
If it were possible to mechanically estimate when tomatoes should be harvested timing, it would make harvesting easier f... [more] CQ2023-66
pp.76-81
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
SIP, IT, RCS 2024-01-19
10:20
Miyagi
(Primary: On-site, Secondary: Online)
Coordinated Multi-Point with Hierarchical Active Inference of Position and Propagation Channel
Tatsuya Otoshi, Masayuki Murata (Osaka Univ.) IT2023-63 SIP2023-96 RCS2023-238
This study focuses on cooperative beamforming among base stations in wireless communication technology and proposes a ne... [more] IT2023-63 SIP2023-96 RCS2023-238
pp.181-186
IBISML 2023-12-20
14:55
Tokyo National Institute of Informatics
(Primary: On-site, Secondary: Online)
Anomaly Detection by One-class Convolution Extreme Learning Machine Using Multiple Kernel
Yuta Okami, Takuya Kitamura (NIT, Toyama College) IBISML2023-31
In this paper, we propose a one-class convolutional extreme learning machine using multiple kernel. In this method, for ... [more] IBISML2023-31
pp.7-12
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Gaze features representing anticipatory gaze and machine learning models for predicting Self-Efficacy -- From data in use of a rotational transformation mouse --
Yuka Hayakawa, Saki Tanaka, Airi Tsuji (TUAT), Junichi Yamamoto (TMU), Kaori Fujinami (TUAT)
Self-efficacy is the degree of confidence in one's ability to perform a behavior, and has been attempted to apply to pr... [more]
CPSY, IPSJ-ARC, IPSJ-HPC 2023-12-06
17:15
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
An Efficient Sparse Matrix Storage Format for Sparse Matrix-Vector Multiplication and Sparse Matrix-Transpose-Vector Multiplication on GPUs
Ryohei Izawa, Yasushi Inoguchi (JAIST) CPSY2023-37
The utilization of sparse matrix storage formats is widespread across various fields, including scientific computing, ma... [more] CPSY2023-37
pp.58-63
ICM, NS, CQ, NV
(Joint)
2023-11-21
13:15
Ehime Ehime Prefecture Gender Equality Center
(Primary: On-site, Secondary: Online)
[Encouragement Talk] Security Evaluation of Low-latency Cipher based on Improved Simon against Deep Learning Analysis using Profiled Power Consumption
Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) NS2023-114
Society 5.0 aims to solve problems in social systems through the intercommunication of small devices. On the other hand,... [more] NS2023-114
pp.20-25
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-16
13:20
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
Tamper Resistance Evaluation on FPGA for Low-Latency Cipher Sonic
Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) VLD2023-49 ICD2023-57 DC2023-56 RECONF2023-52
Industry 5.0 promotes smart factories for system optimization by utilizing IoT and AI in the industrial field. The smart... [more] VLD2023-49 ICD2023-57 DC2023-56 RECONF2023-52
pp.101-105
LOIS, SITE, ISEC 2023-11-10
12:10
Hiroshima Satellite Campus Hiroshima
(Primary: On-site, Secondary: Online)
Zero-Knowledge Proofs for ownership of Deep Neural Network
Shungo Sato, Hidema Tanaka (NDA) ISEC2023-67 SITE2023-61 LOIS2023-25
Because AI technologies have rapidly spread and developed in our society, Neural Networks, which are one of Machine Lear... [more] ISEC2023-67 SITE2023-61 LOIS2023-25
pp.86-92
MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS 2023-10-27
14:50
Hokkaido   User-adaptable Avatar Posture Manipulation
Riku Shinohara (NAIST), Atsushi Hashimoto, Tadashi Kozuno, Shigeo Yoshida (OSX), Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyokawa Kiyoshi (NAIST) MVE2023-29
In this study, we propose a system for acquiring a method of manipulating the avatar posture using the user's hands. In ... [more] MVE2023-29
pp.40-45
 Results 1 - 20 of 348  /  [Next]  
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