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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 15:50 |
Okinawa | OIST | Distributionally Robust Safe Sample Screening and Its Application to Infinite-width Deep Neural Networks Tatsuya Aoyama (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Satoshi Akahane, Yoshito Okura, Tomonari Tanaka (Nagoya Univ.), Yu Inatsu (NITech), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ.)  NC2024-10 IBISML2024-10 |
(To be available after the conference date) [more] | NC2024-10 IBISML2024-10 pp.67-72 |
| RCS | 2024-06-21 09:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Deep Unfolding of Successive Approximation Method in Indoor Positioning Based on BLE Angle of Arrival Tomohiro Toyoda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2024-71 |
(To be available after the conference date) [more] | RCS2024-71 pp.254-259 |
| NLP, CCS | 2024-06-06 15:20 |
Fukuoka | West Japan General Exhibition Center AIM | An Efficient Deep Learning Method by Sequential Insertion of Hidden Layers Kentaro Toki, Hidehiro Nakano (Tokyo City Univ.) NLP2024-24 CCS2024-11 |
In recent deep learning, deep neural networks are trained using residual connections. However, training deep models requ... [more] | NLP2024-24 CCS2024-11 pp.44-48 |
| IT, EMM | 2024-05-30 12:50 |
Chiba | Chiba University (Nishi-Chiba Campus) | A Study of Proximal Decoding enhanced by Deep Unfolding Asahi Ito, Lantian Wei, Tadashi Wadayama (NIT) IT2024-1 EMM2024-1 |
In this paper, we investigate the application of DU (Deep Unfolding) to the proximal decoding method for detecting and d... [more] | IT2024-1 EMM2024-1 pp.1-6 |
| CCS | 2024-03-27 14:50 |
Hokkaido | RUSUTSU RESORT | Dependence on Complexity of Nonlinear Functions for Augmented DFA Method in Deep Learning Based on Optoelectronic Delay System Yuto Nagatsuka, Rin Nogami (Saitama Univ.), Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.), Atsushi Uchida, Kazutaka Kanno (Saitama Univ.) CCS2023-46 |
Increasing energy costs in deep learning have led to proposals for fast and efficient optical deep learning hardware. Th... [more] | CCS2023-46 pp.42-47 |
| ICM | 2024-03-21 09:20 |
Okinawa | Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Intuitive Interaction System Based on Leg Movement Recognition Using Chair-embedded Camera Kaito Hamagaki, Shingo Ata, Manato Fujimoto (Osaka Metropolitan Univ.) ICM2023-45 |
Virtual Reality (VR) technology has rapidly evolved, expanding into education, healthcare, and entertainment, offering u... [more] | ICM2023-45 pp.1-6 |
| ICSS, IPSJ-SPT | 2024-03-22 10:55 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Improved signature-embedding techniques against backdoor attacks on DNN models Akira Fujimoto, Yuntao Wang, Atsuko Miyaji (OU) ICSS2023-87 |
In recent years, machine learning, particularly deep learning, has made remarkable strides, and has great impact on our ... [more] | ICSS2023-87 pp.129-136 |
| PN | 2024-03-15 11:40 |
Kagoshima | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Recent progress on machine learning technologies for photonic networks Takahito Tanimura (Hitachi) PN2023-83 |
Recent advancements in machine learning technologies, particularly focusing on deep learning, and their application to p... [more] | PN2023-83 pp.74-78 |
| CAS, CS | 2024-03-15 14:45 |
Okinawa | Exploring Uniform Convergence in Neural Networks and its Implication on Generalization Error Zong Xianzhe, Hiroshi Tamura (CHUO Univ.) CAS2023-135 CS2023-128 |
Uniform Convergence, a well-established framework for evaluating generalization in traditional Machine Learning, frequen... [more] | CAS2023-135 CS2023-128 pp.134-139 |
|
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 15:20 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Efficient regularizer for 4D light field image denoising based on graph-learning Rino Yoshida (TUS), Kazuya Kodama (NII), Gene Cheung (York Univ.), Takayuki Hamamoto (TUS) IMQ2023-56 IE2023-111 MVE2023-85 |
Advanced 3D visual media as promising technology often require 4D light fields composed of dense multi-view images for a... [more] | IMQ2023-56 IE2023-111 MVE2023-85 pp.235-240 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:00 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Analysis of the Impact of Different Resolutions and Datasets on the Architecture Searched with PC-DARTS Kaisei Hara (Nagaoka Univ. of Technology/AIST), Kazuki Hemmi (Univ. of Tsukuba/AIST), Masaki Onisi (AIST/Univ. of Tsukuba) PRMU2023-57 |
In deep learning, image resolution is crucial to improve accuracy and generalizability. However, the research on the spe... [more] | PRMU2023-57 pp.35-40 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 17:00 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Multi-agent reinforcement learning based control method for large-scale crowd movement on Mojiko Fireworks Festival dataset Kazuya Miyazaki, Masato Kiyama, Motoki Amagasaki, Toshiaki Okamoto (Kumamoto Univ.) IBISML2023-45 |
The importance of human flow guidance is increasing in response to accidents at events. In recent years, some research h... [more] | IBISML2023-45 pp.36-43 |
| MI | 2024-03-04 13:04 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Extraction of phalanges regions from hand CT images using 3D U-Net Madoka Okada, Takaharu Yamazaki, Yusei Arisawa (SIT), Kazuaki Tanaka (Neomedical), Keizo Fukumoto (Saitama Jikei) MI2023-75 |
Accurate extraction of phalanges regions from hand CT images is important to support accurate image diagnosis, treatment... [more] | MI2023-75 pp.141-144 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-25 10:03 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) PRMU2023-40 |
This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects... [more] | PRMU2023-40 pp.7-12 |
| 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 |
| SIP, IT, RCS | 2024-01-18 16:10 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Autoencoder for Iterative Signal Detection in MIMO Channels Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-52 SIP2023-85 RCS2023-227 |
In this paper, we apply deep unfolding to uplink signal detection via probabilistic data association (PDA) and configure... [more] | IT2023-52 SIP2023-85 RCS2023-227 pp.115-120 |
| SS, MSS | 2024-01-17 14:30 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator Ryoma Furuyama, Daiki Kuyoshi, Yamane Satoshi (Kanazawa Univ.) MSS2023-55 SS2023-34 |
Imitation learning is often used in addition to reinforcement learning in environments where reward design is difficult ... [more] | MSS2023-55 SS2023-34 pp.19-24 |
| HCS, CNR | 2023-11-06 10:50 |
Tokyo | Kogakuin University (Primary: On-site, Secondary: Online) |
Missing depth compensation based on the characteristics of the RGB-D sensor Tsubasa Murasato, Prima Oky Dicky Ardiansyah (Iwate Prefectural Univ.) CNR2023-21 HCS2023-83 |
The recent development of a variety of RGB-D cameras has made it possible to generate 3D images for 3D object recognitio... [more] | CNR2023-21 HCS2023-83 pp.77-81 |
| RISING (3rd) |
2023-10-31 13:00 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Blind center frequency estimation using deep reinforcement learning for modulation scheme identification. Shunsuke Uehashi, Yasutaka Yamashita, Mari Ochiai (Mitsubishi Electric Corp.) |
Identification of modulation schemes in wireless signals is a crucial technology for analyzing the status of wireless co... [more] | |
| RISING (3rd) |
2023-10-31 14:00 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Optimal Compression Rate for Multiple Data Compression Techniques in Data Parallel Distributed Deep Learning Ryudai Fukuda, Takuji Tachibana (Univ. Fukui) |
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more] | |
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