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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| DE, IPSJ-DBS | 2023-12-26 14:00 |
Tokyo | Institute of Industrial Science, The University of Tokyo | Interpretation of unsupervised clustering based on XAI Yu Sasaki, Fumiaki Saitoh (CIT)  DE2023-28 |
Explainable Artificial Intelligence (XAI) aims to introduce transparency and interpretability into the decision-making o... [more] | DE2023-28 pp.1-6 |
| IBISML | 2023-12-21 10:30 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Badminton Rally Analysis Using LSTM Atsushi Yoshinaga, Masato Kiyama, Motoki Amagasaki (Kumamoto Univ.) IBISML2023-35 |
In this study, we analyze badminton rallies as a tactical support technology for sports using AI. In badminton, it is re... [more] | IBISML2023-35 pp.31-36 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Channel Map Clustering for UAV Base Station Placement Method in Cell-Free Massive MIMO Networks Ryota Nosaka, Takahiro Matsuda (Tokyo Metropolitan Univ.) |
Although a cell-free massive MIMO network can provide users with uniformly good quality of services regardless of their ... [more] | |
| NLP, CAS | 2023-10-06 15:40 |
Gifu | Work plaza Gifu | A clustering system of binary data based on reccurent neural network Kazuma Kiyohara, Toshimichi Saito (HU) CAS2023-44 NLP2023-43 |
This paper studies clustering methods for binary data based on nonlinear dynamics in associative memories (AM). The... [more] |
CAS2023-44 NLP2023-43 pp.62-65 |
| CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima | Tenjin-Misaki Sports Park | [Poster Presentation]
Deployment of UAV Base Stations Using Channel Database in Cell-Free Massive MIMO Networks Ryota Nosaka, Takahiro Matsuda (Tokyo Metropolitan Univ) |
Although a cell-free massive MIMO network can provide users with uniformly good quality of services regardless of their ... [more] | |
| DE | 2023-06-16 08:50 |
Tokyo | Musashino University (Primary: On-site, Secondary: Online) |
Analysis of Impact of Interest Rate Hikes on U.S. Industry Market Capitalization
-- Time Series Data Analysis by Amplitude-based Clustering -- Saki Takabatake, Yukari Shirota (Gakushuin Univ.) DE2023-1 |
The U.S. Federal Reserve Board (FRB) has been raising the Federal Funds Rate (FF Rate), since March 2022 for price stabi... [more] | DE2023-1 pp.1-6 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 10:45 |
Hokkaido | Hokkaido Univ. | Classification of illustration images by mood using a combination of supervised and unsupervised learning Keisuke Kubota, Masahiro Okuda (Doshisha Univ.) ITS2022-45 IE2022-62 |
With the spread of animation, games, and animated movies, users are increasingly drawing and posting illustrations on so... [more] | ITS2022-45 IE2022-62 pp.19-24 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 13:45 |
Hokkaido | Hokkaido Univ. | Automatic generation of eating order reports from first-person eating videos Kenshiro Sato, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2022-50 IE2022-67 |
By automatically generating meal reports used by dietitians for dietary guidance from video footage of meals recorded by... [more] | ITS2022-50 IE2022-67 pp.41-46 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2022-11-30 10:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Handling time information for matching broadcast metadata with user-generated text Takeshi S. Kobayakawa (NHK), Takeshi Sakaki, Masanao Ochi, Sakata Ichiro (Univ. Tokyo) NLC2022-12 SP2022-32 |
[more] | NLC2022-12 SP2022-32 pp.16-20 |
| IT, ISEC, RCC, WBS | 2022-03-10 14:40 |
Online | Online | Optimum Clustering Method for Data Driven Consensus Problem considering Network Centrality Shoya Ogawa, Koji Ishii (Kagawa Univ) IT2021-109 ISEC2021-74 WBS2021-77 RCC2021-84 |
In consensus problems in complex networks, the convergence performance deeply depends on the weighting factors. IKishida... [more] | IT2021-109 ISEC2021-74 WBS2021-77 RCC2021-84 pp.155-160 |
| IBISML | 2022-01-18 13:40 |
Online | Online | More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) IBISML2021-25 |
K-means clustering is the most famous clustering method because of its simplicity, and it has been applied to a wide ran... [more] | IBISML2021-25 pp.54-60 |
| MBE, NC (Joint) |
2021-10-29 11:15 |
Online | Online | Visualization and quantification of the difficulty of combinatorial optimization problems in Ising formulation Keiichi Soejima (Saitama Univ.), Makiko Konoshima, Hirotaka Tamura (Fujitsu), Jun Ohkubo (Saitama Univ.) NC2021-25 |
With the aim of rapidly solving combinatorial optimization problems, dedicated hardware using the Ising Model is being d... [more] | NC2021-25 pp.40-45 |
| NLP, MSS (Joint) |
2021-03-16 09:15 |
Online | Online | Modeling Inter-sector Air Traffic Flow and Congestion Degree Prediction Ryosuke Mishima, Kunihiko Hiraishi (JAIST) MSS2020-49 |
In 2015, the Ministry of Land, Infrastructure and Transportation have started to provide information on aircraft flying ... [more] | MSS2020-49 pp.27-32 |
| RECONF | 2020-05-29 10:25 |
Online | Online | FPGA-based human motion estimation based on amalgamated data from multiple sensors Xin Du, Yutaka Shinkai, Mizuki Itoh, Yoshiki Yamaguchi (Tsukuba Univ.) RECONF2020-12 |
This study proposes an FPGA-based system for identifying and estimating human motion by detecting data from sensors in d... [more] | RECONF2020-12 pp.65-70 |
| LOIS | 2020-03-12 11:05 |
Okinawa | Nobumoto Ohama Memorial Hall (Cancelled but technical report was issued) |
Distributed active learning achieving both of monitoring and efficient time-series data sampling for edge computing Osamu Saisho, Keiichiro Kashiwagi, Yui Saito, Tomoyuki Fujino (NTT) LOIS2019-73 |
For edge computing, there is still a great demand to upload only meaningful data to cloud,. However there is no practica... [more] | LOIS2019-73 pp.97-101 |
| NS, IN, CS, NV (Joint) |
2019-09-06 13:05 |
Miyagi | Research Institute of Electrical Communication, Tohoku Univ. | A Method for Complementing Device Information by Using Similarity of DNS Queries Takuya Hirasawa, Shingo Ata, Ikuo Oka (Osaka City Univ.) IN2019-27 |
In recent networks, which is becoming more and more complicated, it is important to maintain detailed information of dev... [more] | IN2019-27 pp.23-28 |
| AI | 2019-07-22 11:30 |
Hokkaido | An Efficient Graph Sequence Clustering by Merging Vertices and Deleting Edges Yoshitaka Kimura, Akihiro Inokuchi (Kwansei Gakuin Univ.) AI2019-5 |
In this paper, we tackle the problem for clustering a graph sequence to discover the change of community in social netwo... [more] | AI2019-5 pp.21-26 |
|
| NLP, MSS (Joint) |
2019-03-14 15:35 |
Fukui | Bunkyo Camp., Univ. of Fukui | Effect of Dropout Layers of Neural Networks Applied for Iterative Error-Detection Clustering Method Taishi Watanabe, Masayuki Yamauchi (Hiroshima Institute of Tech.), Mamoru Tanaka (Sophia Univ.) NLP2018-130 |
IoT has been continued to develop greatly. It is important that cluttered big data need to be used effectively on intern... [more] | NLP2018-130 pp.31-36 |
| NLP, NC (Joint) |
2019-01-23 14:30 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | Approach of A New Repeating Error-Detection Clustering Method Using Neural Networks. Taishi Watanabe, Masayuki Yamauchi (Hiroshima Institute of Tech.), Mamoru Tanaka (Sophia Univ.) NLP2018-107 |
IoT has been continued to develop greatly. It is important that cluttered big data are handled effectively with internet... [more] | NLP2018-107 pp.63-68 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 10:50 |
Okinawa | Okinawa Institute of Science and Technology | Post Clustering Inference, with Application to Single Cell Analysis Shigenori Inoue, Yuta Umezu (NIT), Shouma Tsubota (Nagoya Univ.), Ichiro Takeuchi (NIT/RIKEN/NIMS) IBISML2018-3 |
There are many data with several subgroups, such as customer data and gene expression data and so on. One way to analyze... [more] | IBISML2018-3 pp.15-22 |
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