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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] | 2024-06-21 14:20 |
Okinawa | OIST | Proposal of Node Fusion in MLP-Mixer Shogo Taneda, Yukari Yamauchi (NU) |
(To be available after the conference date) [more] | |
| SIS | 2024-03-14 14:50 |
Kanagawa | Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Improvement of Detection Accuracy for Detection of Calcification Regions in Dental Panoramic Radiographs Using LVAT Naoki Ikeda, Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital)  SIS2023-50 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. The sudden... [more] | SIS2023-50 pp.27-32 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Pixels to Precision: Passing into the Future of Super-Resolution Mastery Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71 |
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] | IMQ2023-42 IE2023-97 MVE2023-71 p.165 |
| 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 |
| NC, MBE (Joint) |
2024-03-12 13:55 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Identification of filamentous fungi by segmentation models using consistency regularization and classmix Taiga Shimizu (Yamanashi Univ.), Waleed Asghar (Oklahoma State Univ.), Ryota Kataoka, Motonobu Hattori (Yamanashi Univ.) NC2023-57 |
In agriculture, soil diagnosis is necessary to protect the environment. However, since current diagnostic methods are no... [more] | NC2023-57 pp.81-86 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Accelerating and stabilizing vectorwise coordinate descent for spatially regularized independent low-rank matrix analysis Yuto Ishikawa, Takuya Okubo, Norihiro Takamune (UTokyo), Tomohiko Nakamura (AIST), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2023-68 SIP2023-115 SP2023-50 |
Spatially regularized independent low-rank matrix analysis (SR-ILRMA) is the method that introduces the spatial prior in... [more] | EA2023-68 SIP2023-115 SP2023-50 pp.43-50 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 12:45 |
Hokkaido | Hokkaido Univ. | 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization Norifumi Kawabata (Kanazawa Gakuin Univ.) ITS2023-67 IE2023-56 |
Sparse coding techniques, which reproduce and represent images with as few combinations as possible from a small amount ... [more] | ITS2023-67 IE2023-56 pp.112-117 |
| NLP, CAS | 2023-10-07 13:00 |
Gifu | Work plaza Gifu | An algorithm for finding regular graphs that maximize algebraic connectivity under a specified number of vertices and degree Masashi Kurahashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS2023-54 NLP2023-53 |
Algebraic connectivity is a measure of network robustness, and defined by the second smallest eigenvalue of the Laplacia... [more] | CAS2023-54 NLP2023-53 pp.106-110 |
| RCS | 2023-06-15 10:50 |
Hokkaido | Hokkaido University, and online (Primary: On-site, Secondary: Online) |
Investigations on Low-Complexity User-Specific TRP Selection Method in Downlink Distributed MIMO with Regularized ZF-Based Beamforming Hiroki Kato, Takanori Hara (Tokyo Univ. of Science), Satoshi Suyama, Satoshi Nagata (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2023-54 |
In this paper, we propose a computationally-efficient method for user equipment (UE)-specific transmission reception poi... [more] | RCS2023-54 pp.153-160 |
| CCS, NLP | 2023-06-09 15:00 |
Tokyo | Tokyo City Univ. | Bifurcation diagram reconstruction using trace norm regularization Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.) NLP2023-26 CCS2023-14 |
A method for reconstructing the bifurcation diagram using time series is introduced. In this method, we employ two machi... [more] | NLP2023-26 CCS2023-14 pp.57-60 |
| SS | 2023-03-14 16:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Automatic Dataset Collection and Formatting Techniques for Machine Learning Systems Takako Kawaguchi, Toshiyuki Kurabayashi, Haruto Tanno (former NTT) SS2022-57 |
In recent years, as machine learning models have become larger and larger, the scale of data required for training has a... [more] | SS2022-57 pp.61-66 |
| SS | 2023-03-15 09:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Regularity Preservation Property of Data Tree Rewrite Systems
-- A Subclass Decomposable into Monadic Normal Form -- Yuto Sakao, Hiroyuki Seki (Nagoya Univ.) SS2022-62 |
Let $T$ be a transformation over a class $mathcal{L}$ of languages. If for any regular language $L in mathcal{L}$, $T^*(... [more] | SS2022-62 pp.91-96 |
| NC, MBE (Joint) |
2023-03-14 10:20 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Study on a robust and accurate deep learning method Shoma Noguchi, Shogo Taneda, Yukari Yamauchi (Nihon Univ.) NC2022-101 |
In deep learning, there are many hyperparameters that must be determined in advance, and it is known that the accuracy v... [more] | NC2022-101 pp.54-59 |
| NC, MBE (Joint) |
2023-03-15 10:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Proposal of Node Fusion in Sparse DenseNet Shogo Taneda, Shoma Noguchi, Yukari Yamauchi (Nihon Univ.) NC2022-110 |
Gao Huang et al. proposed a deep learning model called DenseNet. This deep learning model successfully prevents informat... [more] | NC2022-110 pp.105-108 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 09:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Toward Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi (NTT/Kyoto Univ.), Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai (NTT), Hisashi Kashima (Kyoto Univ.) PRMU2022-58 IBISML2022-65 |
This paper investigates methods for improving generative data augmentation for deep learning. Generative data augmentati... [more] | PRMU2022-58 IBISML2022-65 pp.1-6 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.) PRMU2022-123 IBISML2022-130 |
Machine learning methods often require re-training the training dataset with low-rank modifications (small number of ins... [more] | PRMU2022-123 IBISML2022-130 pp.347-354 |
| QIT (2nd) |
2022-12-09 16:15 |
Kanagawa | Keio Univ. (Primary: On-site, Secondary: Online) |
Efficiency of estimators for locally asymptotically normal quantum statistical models Koichi Yamagata (NII), Akio Fujiwara (Osaka Univ) |
We herein establish an asymptotic representation theorem for locally asymptotically normal quantum statistical models. T... [more] | |
| SIS | 2022-12-05 15:10 |
Osaka | (Primary: On-site, Secondary: Online) |
Application of Adversarial Training in Detection of Calcification Regions from Dental Panoramic Radiographs Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2022-28 |
Calcification regions that are a sign of vascular diseases may be observed on dental panoramic radiographs. The finding ... [more] | SIS2022-28 pp.26-31 |
| DC, SS | 2022-10-25 10:50 |
Fukushima | (Primary: On-site, Secondary: Online) |
SS2022-23 DC2022-29 |
Synthesis problems with multiple environments that behave rationally have been studied based on multiplayer non-zero-sum... [more] | SS2022-23 DC2022-29 pp.10-15 |
| SIS, ITE-BCT | 2022-10-14 10:00 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Robust Semi-Supervised Learning for Noisy Labels Using Early-learning Regularization and Weighted Loss Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2022-16 |
Training Deep Neural Networks (DNNs) on datasets with incorrect labels (label noise) is an important challenge. In the p... [more] | SIS2022-16 pp.27-32 |
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