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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2023-12-08 12:00 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Study on Nonlinear Image Decoloring Method Using Sequentially Updated Basis Daichi Hiroe, Go Tanaka (Nagoya City Univ.)  SIS2023-40 |
Decoloring of color images is a useful technique for data compression, reduction of printing costs, and support for colo... [more] | SIS2023-40 pp.89-94 |
| SIS, IPSJ-AVM [detail] | 2023-06-16 13:00 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
Application of Sequentially Updated Signed Color Distance to Image Decoloring Method Based on Linear Projection and Study on Definition of Signed Color Distance Daichi Hiroe, Go Tanaka (Nagoya City Univ.) SIS2023-13 |
Color removal of images is a useful technique in terms of data compression, printing cost reduction, and so on and is in... [more] | SIS2023-13 pp.67-72 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 10:20 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Reaction Interval Estimation Method Based on Recursive Short-term Principal Components Analysis for Skeletal Information of Badminton Players Kana Sagawa, Hidehiko Shishido, Masashi Suita, Itaru Kitahara (Tsukuba Univ.) IMQ2022-66 IE2022-143 MVE2022-96 |
Data analysis is becoming increasingly important in the field of competitive sports and games. Our research aims to real... [more] | IMQ2022-66 IE2022-143 MVE2022-96 pp.229-234 |
| IT, RCS, SIP | 2023-01-24 10:25 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An improved context tree switching method by dynamic expansion and pruning of context tree Masaya Ootsu, Hideki Yagi (UEC) IT2022-36 SIP2022-87 RCS2022-215 |
The Context Tree Weighting (CTW) method is a sequential lossless universal coding algorithm for tree sources with good p... [more] | IT2022-36 SIP2022-87 RCS2022-215 pp.42-47 |
| NLC | 2021-09-16 15:50 |
Online | Online | Early detection of false information on Twitter by deep learning with sequential data of user and text Kohei Suto, Jianwei Zhang (Iwate Univ.) NLC2021-14 |
The spread of false information has become a problem in the development of SNS in recent years. False information may ha... [more] | NLC2021-14 pp.34-39 |
| MBE, NC (Joint) |
2020-12-18 17:30 |
Online | Online | Parameter inference using Approximate Bayesian Computations for the intermittent control model on postural sway data: A comparison between healthy people and patients with Parkinson's disease Yasuyuki Suzuki, Akihiro Nakamura (Osaka Univ.), Takuyuki Endo, Saburo Sakoda (Osaka Toneyama Medical Center), Taishin Nomura (Osaka Univ.) MBE2020-25 |
Feedback control by the central nervous system is indispensable for stabilizing upright posture during quiet standing. W... [more] | MBE2020-25 pp.25-30 |
| AI | 2020-12-11 10:55 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
An application of Differentiable Neural Architecture Search to Multimodal Neural Networks Yushiro Funoki, Satoshi Ono (Kagoshima Univ) AI2020-11 |
This paper proposes a method that designs an architecture of a deep neural network for multimodal sequential data using ... [more] | AI2020-11 pp.52-56 |
| SCE | 2020-01-17 13:15 |
Kanagawa | [Poster Presentation]
Methodology for Automating Data Feedback Circuit Synthesis for a 4- bit Counter in Adiabatic Quantum-Flux-Parametron Logic Ro Saito (YNU), Christopher L. Ayala, Olivia Chen (YNU IAS), Tomoyuki Tanaka, Tomohiro Tamura, Nobuyuki Yoshikawa (YNU) SCE2019-58 |
Adiabatic quantum-flux-parametron (AQFP) logic is one kind of superconducting logic family spotlighted as a technologica... [more] | SCE2019-58 pp.117-119 |
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| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 17:25 |
Okinawa | Okinawa Institute of Science and Technology | Predicting Demographic Attributes for Individual Viewing Behavior Yusuke Kumagae, Ryoma Yasunaga, Ryo Fujii, Ryo Domoto (Hakuhodo) IBISML2019-10 |
User attribute estimation based on behaviors is an important task in marketing. Previous works have tried to estimate at... [more] | IBISML2019-10 pp.65-71 |
| NLC, IPSJ-IFAT | 2019-02-07 14:45 |
Kyoto | Ryukoku University Omiya Campus | Call Scene Segmentation based on Neural Networks with Conversational Contexts Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Hosana Kamiyama, Takanobu Oba, Yushi Aono (NTT) NLC2018-39 |
Call scene segmentation that automatically splits contact center dialogues into several call scenes is useful for constr... [more] | NLC2018-39 pp.21-26 |
| SR | 2019-01-24 15:20 |
Fukushima | Corasse, Fukushima city (Fukushima prefecture) | An Error Correction Technique with the Viterbi Algorithm for a Machine-Learning-Based Classifier Yoshito Watanabe, Yozo Shoji (NICT) SR2018-105 |
This paper proposes a novel technique to correct errors that can be caused in the decisions made by a machine learning (... [more] | SR2018-105 pp.57-61 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Statistical test for extracting discriminative patterns from trajectory data Takuto Sakuma (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN) IBISML2018-72 |
In this paper, we propose a statistical test method for extracting characteristic subsequences (patterns) from trajector... [more] | IBISML2018-72 pp.213-220 |
| SR | 2018-10-31 10:25 |
Overseas | Mandarin Hotel, Bangkok, Thailand | [Poster Presentation]
Time Series Analysis of Multiple Primary Users by Cooperative Sensing based on SDAR Algorithm Akihisa Abe, Yuya Aoki, Takeo Fujii (UEC) SR2018-80 |
As a way to utilize the limited frequency resource efficiently, frequency sharing based on the spectrum database has bee... [more] | SR2018-80 pp.49-50 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 15:25 |
Okinawa | Okinawa Institute of Science and Technology | Current Dipole Localization from EEG with Birth-Death Process Keita Nakamura (Waseda Univ.), Sho Sonoda (RIKEN), Hideitsu Hino (ISM), Masahiro Kawasaki (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2018-10 |
We explore the EEG source localization problem as the estimation of current dipoles. We formulate the relation between c... [more] | IBISML2018-10 pp.67-74 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Hidden Semi-Markov Model Representing State Overlap for Multiple Sequential Data Input Hiromi Narimatsu, Hiroyuki Kasai (UEC) IBISML2017-49 |
This paper proposes an extended hidden semi-Markov model (HSMM) to handle multiple sequence inputs. The significant limi... [more] | IBISML2017-49 pp.109-114 |
| R | 2017-07-28 15:25 |
Hokkaido | Wakkanai Sun Hotel | Sequential prediction of software bug via nonparametric maximum likelihood estimator Yasuhiro Saito (JCGA), Tadashi Dohi (Hiroshima Univ.) R2017-20 |
In this paper we propose sequential prediction methods with nonparametric estimator of non-homogeneous poisson process (... [more] | R2017-20 pp.37-42 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-23 16:25 |
Okinawa | Okinawa Institute of Science and Technology | Analysis of Sequential Learning Capability of Selective Desensitization Neural Network Tomoki Ichiba, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Syoichi Someno, Masahiko Morita (Tsukuba Univ.) NC2017-9 |
A conventional neural network with high generalization ability is known to entirely forget the previously learned inform... [more] | NC2017-9 pp.27-32 |
| IBISML | 2017-03-07 10:00 |
Tokyo | Tokyo Institute of Technology | Safe Pruning Rule for Predictive Sequential Pattern Mining and Its Application to Bio-logging Data Analysis Kaoru Kishimoto (NITech), Masayuki Karasuyama (NIT), Kazuya Nakagawa (NITech), Kotaro Kimura (Osaka Univ.), Ken Yoda (Nagoya Univ.), Yuta Umezu, Shinsuke Kajioka (NITech), Koji Tsuda (UTokyo), Ichiro Takeuchi (NITech) IBISML2016-105 |
Recently, the analysis for time-series logging data of animal behaviors, called bio-logging data, has attracted a wide a... [more] | IBISML2016-105 pp.41-48 |
| ET | 2017-01-28 16:30 |
Kanagawa | National Institute of Special Needs Education | Development of a Method for Analyzing Source Code Editing Processes to Estimate Students' Learning Situations Kei Ishiwada, Yasuhiko Morimoto (TGU), Shoichi Nakamura, Hiroki Nakayama (FU), Youzou Miyadera (TGU) ET2016-92 |
In the programming exercise lesson, it is expected that estimating learning situation based on the source code editing p... [more] | ET2016-92 pp.75-80 |
| ET | 2016-07-09 11:50 |
Miyagi | Tohoku Gakuin University | Development of a Tool for Analyzing the Edit Histories of Programs to Estimate the Learning Situations Kei Ishiwada, Yasuhiko Morimoto (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.) ET2016-25 |
In this study, we aim to estimate students’ learning situations in the Programming Exercise class, based on their progra... [more] | ET2016-25 pp.21-26 |
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