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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Liouvillian spectral analysis for dynamics of open quantum systems via dynamic mode decomposition Yuzuru Kato (FUN), Hiroya Nakao (Tokyo Tech) |
Dynamic mode decomposition (DMD) is a data-driven method for the estimation, prediction, and control of complex dynamica... [more] | |
| NLP | 2023-11-28 11:15 |
Okinawa | Nago city commerce and industry association | Dynamics of Reservoir in Echo State Network Shion Yoshida, Tohru Ikeguchi (TUS)  NLP2023-62 |
Reservoir computing is one of the frameworks for machine learning for fast and highly accurate analysis of time series a... [more] | NLP2023-62 pp.15-20 |
| IT, RCS, SIP | 2023-01-25 14:35 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] | IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
| IN, CCS (Joint) |
2022-08-05 10:30 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Detecting causality for spike trains based on reconstructing dynamical system from inter-spike intervals Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) CCS2022-36 |
In this report, by modifying a nonlinear method of detecting causality, we propose a method of detecting causality for p... [more] | CCS2022-36 pp.48-53 |
| IT | 2022-07-22 14:15 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A Study on Multilevel Coefficient Linear Regression Model and an Optimal Prediction for Multilevel Data by Bayes Decision Theory Kohei Horinouchi, Naoki Ichijo, Taisuke Ishiwatari, Toshiyasu Matsushima (Waseda Univ.) IT2022-26 |
It is common practice to apply Multilevel Model (Linear Mixed Model, Hierarchical Linear Model) for the data sampled fro... [more] | IT2022-26 pp.56-60 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-18 13:00 |
Online | Online | F0 estimation of speech based on l2-norm regularized TV-CAR analysis Keiichi Funaki (Univ. of the Ryukyus) SP2021-2 |
Linear Prediction (LP) is the most successful speech analysis in speech processing, including speech coding implemented ... [more] |
SP2021-2 pp.7-12 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Objective Prediction of Social Skills Level for Automated Social Skills Training Using Multimodal Information Takeshi Saga, Hiroki Tanaka (NAIST), Hidemi Iwasaka (Nara Med. Univ.), Satoshi Nakamura (NAIST) |
Although Social Skills Training is a well-known effective method to obtain appropriate social skills during daily commun... [more] | |
| EA | 2020-12-14 13:00 |
Online | Online | Sound signal mixing method automatically determining important bands Yuki Haba, Kota Takahashi (UEC) EA2020-52 |
We have proposed Smart Mixer, novel automatic sound signal mixing method. It has two inputs and improve clarity of one o... [more] | EA2020-52 pp.39-44 |
| IBISML | 2020-10-21 16:15 |
Online | Online | IBISML2020-25 |
Analysis and prediction of dynamic processes using data are fundamental in a variety of scientific and industrial fields... [more] | IBISML2020-25 pp.43-44 |
| NLP, NC (Joint) |
2019-01-23 11:20 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | An analysis on chaotic marked point process using constrained random shuffled surrogate data Kohei Yamamoto (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2018-101 |
Marked point process data refer to a time series of discrete events with additional information. For example, se... [more] |
NLP2018-101 pp.29-34 |
| SP, SIP, EA | 2017-03-01 15:55 |
Okinawa | Okinawa Industry Support Center | [Invited Talk]
Multikernel Adaptive Filtering: Signal Processing and Machine Learning Masahiro Yukawa (Keio Univ.) EA2016-113 SIP2016-168 SP2016-108 |
We present the multikernel adaptive filtering and introduce its recent advances. Multikernel adaptive filtering is a rec... [more] | EA2016-113 SIP2016-168 SP2016-108 pp.177-182 |
| AI | 2015-12-18 12:00 |
Okinawa | A Study on Prediction Model of the Number of Applications on Internet Portal Sites for Job Hunting Takuto Notsu, Kenta Mikawa, Masayuki Goto (Waseda Univ.), Tairiku Ogihara (Recruit Career Co., Ltd.) AI2015-34 |
Recently, the number of companies which are published on internet portal sites has increased in Japan. These portal site... [more] | AI2015-34 pp.49-54 |
|
| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Theoretical Vulnerability Evaluation on Linear Classifier under Self-Information Controllable Settings Shohei Kobayashi (Univ. of Tsukuba), Shota Okumura, Ichiro Takeuchi (nitech), Jun Sakuma (Univ. of Tsukuba) IBISML2015-64 |
Self-information controllable learning is machine learning algorithms that allow data providers to control their data ev... [more] | IBISML2015-64 pp.83-90 |
| R | 2015-07-31 15:10 |
Aomori | On Software Quality Prediction Based on Generalized Linear Models Shinji Inoue, Shigeru Yamada (Tottori Univ.) R2015-18 |
Statistical analysis approaches are often discussed for statistical software quality prediction based on software proces... [more] | R2015-18 pp.25-30 |
|
| SP, ASJ-H | 2014-10-23 14:00 |
Wakayama | Nanki Shirahama Onsen Hotel Seamore | Pre-processing for vocal tract area function estimation using linear prediction analysis Kinuyo Isa, Shoki Yoshimoto, Ryuichi Nisimura, Toshio Irino, Hideki Kawahara (Wakayama Univ.) SP2014-79 |
Estimaiton of vocal tract area function based on linear predictive analysis suffers from biasing factors such as glottal... [more] | SP2014-79 pp.27-28 |
| NC, MBE (Joint) |
2014-03-17 11:00 |
Tokyo | Tamagawa University | Correlation between voice signals and alcohol concentrations in blood Masayuki Kawanoi, Naoki Fujiwara, Satoru Kishida (Tottori Univ.) NC2013-117 |
We investigated the correlation between voice signals and alcohol concentrations in blood with neural network systems fo... [more] | NC2013-117 pp.167-170 |
| NLP | 2014-03-10 13:30 |
Tokyo | Sophia University | Analysis of chaotic response in the Izhikevich neuron model using nonlinear prediction Nozomi Sugiura, Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2013-170 |
The Izhikevich neuron model is a mathematical model that can reproduce various neural firing patterns, such as regular s... [more] | NLP2013-170 pp.31-36 |
| MBE | 2013-05-24 15:20 |
Toyama | A study of the autonomic nervous response under stress conditions Kazuhiro Ikeda, Tohru Kiryu (Niigata Univ.) MBE2013-10 |
Under stressful image, a symptom called Visually Induced Motion Sickness (VIMS) like the motion sickness is a concern. I... [more] | MBE2013-10 pp.49-53 |
|
| NLP | 2013-03-15 10:15 |
Chiba | Nishi-Chiba campus, Chiba Univ. | Prediction of growth of complex networks Suguru Yaginuma, Kaori Kuroda (Saitama Univ.), Yutaka Shimada (Aihara Innovative Mathematical Modelling Project), Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2012-163 |
In this report, we propose a method to predict growth of a complex network. In our method, first, we transformed a compl... [more] | NLP2012-163 pp.97-102 |
| SIS | 2013-03-08 09:30 |
Shizuoka | Create Hamamatsu | A study on Noise Suppression for Cardiac Sound Takashi Sudo (TOSHIBA/Yokohama National Univ.), Hirokazu Tanaka (TOSHIBA), Chika Sugimoto, Ryuji Kohno (Yokohama National Univ.) SIS2012-62 |
The needs of health care is growing in recent years. The home-oriented health care and medical equipment is spreading. A... [more] | SIS2012-62 pp.91-96 |
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