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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2022-12-21 10:00 |
Fukuoka | On the relationship between lyricist-artist entropy and lyricist classification difficulty Mitsuki Morita, Masato Kikuchi, Tadachika Ozono (NITech)  AI2022-33 |
Determining a lyricist of a lyric is a more difficult task than an author of a novel. A lyric may contain a mixture of i... [more] | AI2022-33 pp.1-6 |
|
| SANE | 2022-12-16 14:15 |
Nagasaki | Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer Hongmiao Wang, Danwei Lu (Tsinghua Univ.), Junjun Yin (USTB), Jian Yang (Tsinghua Univ.) SANE2022-83 |
Deep learning methods have been widely studied for polarimetric synthetic aperture radar (PolSAR) land cover classificat... [more] | SANE2022-83 pp.100-104 |
| PRMU | 2022-12-16 14:10 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Sampling Strategies in Data Pruning Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2022-48 |
Data Pruning is a method of selecting the training data out of an entire training dataset so as to keep the accuracy aft... [more] | PRMU2022-48 pp.85-90 |
| PRMU | 2022-12-16 14:55 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
On a difficulty of TextVQA Koki Nakamura, Seiichi Uchida (Kyushu Univ.) PRMU2022-51 |
Text Visual Question Answering (TextVQA) is a task that uses textual information in images to generate natural language ... [more] | PRMU2022-51 pp.100-105 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Classification method of room sound environment using spectrogram images and its real environment evaluation Shota Sano (KAIT), Azusa Takahashi, Keisuke Hasegawa (JSP), Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) |
There are various sound sources in a room, and various applications such as monitoring a living situation can be expecte... [more] | |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Motion Classification of Cleaning Tasks by Machine Learning Using Short-Time Motion and Biometric Data Yuya Itagaki, Kazuki Maeda, Yuya Okazaki, Yuko Horita (Univ of Toyama) |
Moderate exercise is considered to be one of the most important factors for health promotion, and cleaning work is attra... [more] | |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Motion similarity classification of Radio Gymnastics by using information of 3D skeletal features Ryohei Yamazaki, Shigeru Akamatsu (Hosei Univ.) |
The purpose of this study is to examine effective features for classification of movements like human evaluation based o... [more] | |
| RCC, ITS, WBS | 2022-12-14 11:30 |
Shiga | Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
A fundamental study of a drone classification method applying CNN to range and Doppler images obtained by a millimeter-wave fast chirp MIMO radar Masashi Kurosaki, Kenshi Ogawa, Ryohei Nakamura, Hisaya Hadama (NDA) WBS2022-46 ITS2022-22 RCC2022-46 |
In this paper, we propose a method to classifying various drones from range profile and micro Doppler images of a drone ... [more] | WBS2022-46 ITS2022-22 RCC2022-46 pp.65-70 |
| MBE, NC | 2022-12-03 11:00 |
Osaka | Osaka Electro-Communication University | Image Classification Using Gabor Filters as Preprocessing for CNNs Akito Morita, Hirotsugu Okuno (OIT) MBE2022-32 NC2022-54 |
Image preprocessing is a promising approach to improve accuracy in image classification using convolutional neural netwo... [more] | MBE2022-32 NC2022-54 pp.43-46 |
| IA | 2022-11-21 14:30 |
Niigata | Bandai Civic Hall (Niigata) (Primary: On-site, Secondary: Online) |
A Study of Application Identification Schemes and Impact on Video Transmission Quality in The Customer and Application-Aware SR-TE Framework Ryunosuke Saito, Harunobu Yoshida, Shintaro Ishihara, Toyokazu Akiyama, Kazumasa Kobayashi (Kyoto Sangyo Univ.), Wataru Mishima (NTT Com) IA2022-40 |
Customers using Internet service providers (ISP) generate traffic for a variety of applications, each with different req... [more] | IA2022-40 pp.20-24 |
| COMP | 2022-10-26 17:00 |
Fukuoka | Kyusyu Univ. Nishijin Plaza | Computational Complexity of List Constructing Takashi Harada (Kochi Univ. of Tech.), Takashi Fuchino, Ken Tanaka (Kanagawa Univ.), Kenji Mikawa (MIT) COMP2022-20 |
Packet classification is to classify packets arriving to or leaving from a network device according to the security polic... [more] | COMP2022-20 pp.32-37 |
| MIKA (3rd) |
2022-10-14 10:40 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
LOS/NLOS Identification Based on MUSIC for Binary Radio Tomographic Imaging Kaito Tanaka, Tetsuya Shinohara, Takahiro Matsuda (Tokyo Metropolitan Univ.), Yoshiaki Nishikawa (Tokyo Metropolitan Univ./NEC), Eiji Takahashi, Takeo Onishi, Toshiki Takeuchi (NEC) |
Radio Tomographic Imaging (RTI) is a technique to estimate Spatial Loss Fields (SLF)form measurements of received signa... [more] |
|
| MIKA (3rd) |
2022-10-14 10:40 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A New CSI Feedback with Quantization Based on Adaptive DNN for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divisio... [more] | |
| MI | 2022-09-15 15:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology Yuta Nambu (Future Univ. Hakodate), Tasuku Mariya, Syota Shinkai, Mina Umemoto, Hiroko Asanuma, Yoshihiko Hirohashi, Tsuyoshi Saito, Toshihiko Torigoe (Sapporo Medical Univ.), Ikuma Sato, Yuichi Fujino (Future Univ. Hakodate) MI2022-62 |
To support cervical cell diagnosis, Various classification methods of cervical cell images using machine learning have b... [more] | MI2022-62 pp.53-58 |
| PRMU | 2022-09-14 11:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Disease and severity classification of coffee leaf images by global low-level feature aggregation network Takuhiro Okada, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2022-14 |
Coffee leaf disease is one of the most important problems in coffee production. It is very important in the coffee produ... [more] | PRMU2022-14 pp.25-30 |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2022-09-10 14:00 |
Toyama | Toyama Prefectural Hall (Primary: On-site, Secondary: Online) |
An Analysis of Stopwords in Document Classification Tasks with BERT Yuki Kuwabara, Yu Suzuki (Gifu Univ.) DE2022-14 |
When researchers classify documents, they sometimes use stopwords to improve accuracy without checking their effectivene... [more] | DE2022-14 pp.41-46 |
| SCE | 2022-08-09 13:00 |
Online | Online | Physical Reservoir using Josephson Transmission Line for Waveform Classification Kohki Watanabe (Tohoku Univ.), Yoshinao Mizugaki (Univ.Electro-Communications), Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ.) SCE2022-6 |
Superconducting device is expected to be applied to machine learning due to its outstanding low power consumption proper... [more] | SCE2022-6 pp.30-33 |
| ICD, SDM, ITE-IST [detail] | 2022-08-10 16:00 |
Online | IC with Integrated Imager and Ultra-Low Latency All-Digital In-Imager 2D Binary Convolutional Neural Network Accelerator for Image Classification Ruizhi Wang, Cheng-Hsuan Wu, Makoto Takamiya (The Univ. of Tokyo) SDM2022-53 ICD2022-21 |
In the field of real-time image recognition, the computing latency of convolutional neural network become an issue. In t... [more] | SDM2022-53 ICD2022-21 pp.87-92 |
|
| 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 |
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