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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IN, CCS (Joint) |
2022-08-04 10:20 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Consideration of the structure of CNN models with high image classification performanc Mizuki Dai, Kenya Jinno (Tokyo City University)  CCS2022-27 |
In recent years, Transformer-based models such as ViT have shown remarkable performance in image recognition using Deep ... [more] | CCS2022-27 pp.6-9 |
| NLC, IPSJ-ICS | 2022-07-08 15:55 |
Online | Online | Topic Classification of Kyutech Corpus by Machine Learning Shinnosuke Kawasaki, Kazutaka Shimada (Kyutech) NLC2022-3 |
Discussion summarization is one of the most important tasks for discussion analysis. Utterances in a discussion contain... [more] |
NLC2022-3 pp.13-18 |
| AI | 2022-07-04 15:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Developing a Part-Oriented Aspect Term Extractor for Part-Specific Review Classification Shogo Anda, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-13 |
Aspect term extraction is the extraction of terms representing entities and attributes in the target domain of sentiment... [more] | AI2022-13 pp.66-71 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | Neural beamformer with automatic detection of notable sounds for acoustic scene classification Sota Ichikawa, Takeshi Yamada (Univ. of Tsukuba), Shoji Makino (Waseda Univ./Univ. of Tsukuba) SP2022-10 |
Recently, acoustic scene classification using a beamformer with multi-channel signals as input has been proposed. Genera... [more] | SP2022-10 pp.35-40 |
| CAS, SIP, VLD, MSS | 2022-06-16 15:05 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Image Classification Using Vision Transformer for Compressible Encrypted Images Genki Hamano, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) CAS2022-8 VLD2022-8 SIP2022-39 MSS2022-8 |
In this paper, we propose an image classification method for compressible encrypted images without losing classification... [more] | CAS2022-8 VLD2022-8 SIP2022-39 MSS2022-8 pp.40-45 |
| RCS | 2022-06-17 10:25 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
A Study on Support Vector Classification-Aided Regression with Ensemble Learning for GNSS Positioning Shugo Maruyama, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2022-60 |
In Global Navigation Satellite System (GNSS) positioning, the receiver position is estimated by solving the nonlinear si... [more] | RCS2022-60 pp.212-217 |
| SIS, IPSJ-AVM | 2022-06-10 11:40 |
Fukuoka | KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
An embedded-oriented sound classification system using reservoir computing Yuichiro Tanaka, Issei Uchino (Kyutech), Kazunobu Ohkuri (Sony), Hakaru Tamukoh (Kyutech) SIS2022-9 |
Although deep neural networks (DNNs) have achieved state-of-the-art results in sound classification tasks in recent year... [more] | SIS2022-9 pp.41-44 |
| IMQ | 2022-05-27 14:25 |
Tokyo | Classification-ESRGAN
-- Synthesis of super-resolution images based on subject categorization -- Jingan Liu, Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-3 |
In recent years, super-resolution techniques have been significantly developed based on deep learning. In particular, GA... [more] | IMQ2022-3 pp.12-17 |
|
| IT, EMM | 2022-05-18 12:40 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
On Bayesian Approach for Classification of Context Tree Model Shota Saito (Gunma Univ.) IT2022-11 EMM2022-11 |
This study deals with the Bayesian classification problem, which was investigated by Merhav and Ziv [IEEE Trans. Inf. Th... [more] | IT2022-11 EMM2022-11 pp.56-60 |
| MSS, NLP | 2022-03-29 13:50 |
Online | Online | Classification of power spectra of EEG by non-negative matrix factorization Kazuki Koyama, Mariko Ito (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2021-76 NLP2021-147 |
It has been common for experts to manually and subjectively classify sleep stages in the experiments for the sleep of mi... [more] | MSS2021-76 NLP2021-147 pp.111-116 |
| CW (2nd) |
2022-03-11 | Automatic Classification of Editorial Yusuke Okawa, Shusuke Okamoto (Seikei Univ.) |
Newspaper carries editorials. An editorial is a kind of article which maintains the newspaper company’s opinions to some... [more] | |||
| WIT, IPSJ-AAC | 2022-03-08 13:25 |
Online | Online | A Study on Sign Recognition Using Deep Learning
-- Comparison between CTC and Conformer -- Hikaru Isogai, Tsutomu Kimura (NIT, Toyota College), Kanda Kazuyuki (National Museum of Ethnology) WIT2021-48 |
In this study, our purpose is to recognize signs using machine learning. In order to take into account the transition mo... [more] | WIT2021-48 pp.29-34 |
| NLC | 2022-03-07 13:00 |
Online | Online | Analysis of Japanese Chronology Logs in Disaster Koichi Takeuchi, Yoh Yamasaki, Akihiro Watanabe, Takahiro Hirayama, Hiroyuki Nakao (Okayama Unv.) NLC2021-31 |
A document called a chronology log which records events on a time scale is recorded in the disaster management headquar... [more] | NLC2021-31 pp.19-23 |
| SIS | 2022-03-03 14:45 |
Online | Online | Few-Shot Music Artist Classification Tianshuai Yu, Yoshimasa Tsuruoka (Tokyo Univ.) SIS2021-36 |
Music artist classification is known as a task in the field of Music Information Retrieval(MIR). Recently, due to the im... [more] | SIS2021-36 pp.32-37 |
| MBE, NC (Joint) |
2022-03-02 09:30 |
Online | Online | A Study on Improvement of Recognition Accuracy and Speed-up of SOM-based Classification System Shun Tasaka, Hiroomi Hikawa (Kansai Univ.) NC2021-46 |
This paper discusses a new type of image classifier called class-SOM, which is based on self-organizing map (SOM). The... [more] |
NC2021-46 pp.1-4 |
| MBE, NC (Joint) |
2022-03-03 10:20 |
Online | Online | Proposal of drowsiness detection from multimodal biosignals using t-SNE Takumi Nomura, Shin'ichiro Kanoh (SIT) MBE2021-94 |
The method to detect drowsiness from electroencephalogram (EEG), electrocardiogram (ECG), and electroretinogram (EOG) wh... [more] | MBE2021-94 pp.31-34 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 13:15 |
Online | Online | A Note on Improvement of Accuracy in Classification of Distress Images for Efficient Inspection of Road Structures
-- Introduction of Ratio of Similar Cases Based on Text Data -- Taisei Hirakawa, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a method for correcting the results of distress image classification using text data recorded ... [more] | |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 13:00 |
Online | Online | Domain Incremental Leaning with Adaptive Loss Functions Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) ITS2021-30 IE2021-39 |
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] | ITS2021-30 IE2021-39 pp.31-36 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:15 |
Online | Online | Classification of User's Device Possession Position and Behavior by Using Deep Metric Learning Rui Kitahara, Lifeng Zhang (Kyutech) ITS2021-40 IE2021-49 |
With the widespread use of smartphones, there have been efforts to classify human behavior using built-in sensors. Howev... [more] | ITS2021-40 IE2021-49 pp.91-96 |
| MI | 2022-01-26 11:05 |
Online | Online | Study on automatic generation of COVID-19 related radiology reports from chest CT images Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57 |
In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] | MI2021-57 pp.49-54 |
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