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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SDM | 2020-11-20 10:30 |
Online | Online | [Invited Talk]
Power Device Degradation Estimation by Machine Learning of Gate Waveforms Hiromu Yamasaki, Koutaro Miyazaki, Yang Lo, A. K. M. Mahfuzul Islam, Katsuhiro Hata, Takayasu Sakurai, Makoto Takamiya (Univ. of Tokyo)  SDM2020-29 |
A method to detect bonding wire lift-off of SiC MOSFETs using machine learning from the gate voltage waveform is propose... [more] | SDM2020-29 pp.32-35 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 10:50 |
Online | Online | statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida (Tokyo Univ.), Yasuhiko Igarashi (Tsukuba Univ.), Masato Okada (Tokyo Univ.) NC2020-18 |
When single neural networks sequentially learns more than one task, catastrophic forgetting occurs except for the last t... [more] | NC2020-18 pp.50-55 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
A study on reverberation time estimation based on regression error Yohei Iiyama, Yutaka Kaneda (Tokyo Denki Univ.) EA2019-145 SIP2019-147 SP2019-94 |
The reverberation time is obtained by linear regression of the reverberation curve calculated from a room impulse respon... [more] | EA2019-145 SIP2019-147 SP2019-94 pp.255-260 |
| SIS | 2019-12-12 14:55 |
Okayama | Okayama University of Science | Machine learning algorithms with quantized images and their influence Takayuki Osakabe, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro.Univ.) SIS2019-27 |
Recently, appling quantized images to machine learning algorithms is expected to enhance robustness against adversarial... [more] |
SIS2019-27 pp.23-28 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Estimation of three-dimensional tongue shape from midsagittal tongue contour using regression models Tatsuya Kitamura (Konan Univ.), Hisanori Makinae (NRIPS), Masashi Ito (TIT) SP2019-40 |
In this study, we investigated methods to estimate the tongue contours of the outer sagittal planes from a midsagittal t... [more] | SP2019-40 pp.67-72 |
| IT | 2019-07-25 14:25 |
Tokyo | NATULUCK-Iidabashi-Higashiguchi Ekimaeten | Bayes Optimal Prediction and Its Approximative Algorithm on Model Including Cluster Explanatory Variables and Regression Explanatory Variables Haruka Murayama, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2019-16 |
In this research, data are assumed to be divided in clusters based on a part of the continuous explanatory variables, an... [more] | IT2019-16 pp.5-10 |
| R | 2019-06-14 15:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Identification comparison of software fault-prone modules using nonlinear logistic regression models Kazunari Yamanaka, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-12 |
In this article, we compare several non-linear logistic regression models used in a fault-prone identification problem... [more] |
R2019-12 pp.19-24 |
| ITS, IEE-ITS | 2019-03-04 10:55 |
Kyoto | Kyoto Univ. | Improvement in travel time prediction based on linear regression models Shigeharu Toyoda, Ken-ichi Masuda, Kentarou Takaki (SEI) ITS2018-87 |
In the case of the database of the Japan Digital Road Map Association, there are 1.54 million road links even in Japan's... [more] | ITS2018-87 pp.5-10 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 14:45 |
Okinawa | Optimization of Gaussian Kernel Parameters for Kernel Logistic Regression Kosuke Fukumori, Tomoya Wada, Toshihisa Tanaka (TUAT) EA2017-135 SIP2017-144 SP2017-118 |
The kernel logistic regression is a nonlinear classification model that effectively uses kernel methods, which are one o... [more] | EA2017-135 SIP2017-144 SP2017-118 pp.185-190 |
|
| CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-09 13:55 |
Okinawa | Okinawa Industry Support Center | A Consideration on Video Viewer's Emotion Estimation based on the correlation between Nasal Skin Temperature and Heart Rate Variability Ryohei Hashimoto, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.), Simon Clippingdale (NHK STRL) CQ2017-125 |
In order to estimate the video viewers’ emotion, we consider the effectiveness of nasal skin temperature, and estimate e... [more] | CQ2017-125 pp.127-132 |
| PN | 2018-03-05 14:55 |
Kagoshima | Minami Tanemachi Shoko Kaikan | [Invited Lecture]
Virtual Network Reconfiguration Based on Bayesian Attractor Selection Model for Optical Networks Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2017-96 |
One of approaches to accommodating traffic demand on an optical network is to configure a virtual network (VN), and reco... [more] | PN2017-96 pp.31-38 |
| PN | 2017-11-16 15:20 |
Tokyo | Kogakuin Univ. | Virtual Network Reconfiguration Based on Bayesian Attractor Model with Linear Regression Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2017-37 |
A typical approach for configuring a virtual network (VN) over an optical network is to design an optimal VN with a know... [more] | PN2017-37 pp.57-63 |
| CQ | 2017-07-27 09:55 |
Hyogo | Kobe University | A fairness index based on the linear regression model Yutaka Shimamura, Hiroshi Inai (Okayama Pref. Univ.) CQ2017-30 |
Jain's index is widely used for a fairness measure. Under Jain's index, a fairness index value is between 0 and 1, and i... [more] | CQ2017-30 pp.7-11 |
| SIP, CAS, MSS, VLD | 2017-06-20 11:00 |
Niigata | Niigata University, Ikarashi Campus | On Contributions of Principal Eigenfunctions of Covariance Operator of Kernel Feature Vectors to Relevant Information in Nonlinear Regression Masahiro Yukawa (Keio Univ.), Klaus-Robert Muller (TU BerlinTechnical U) CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16 |
We study, through simple non-asymptotic arguments, the contributions of eigenfunctions of the covariance operator of ker... [more] | CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16 pp.81-85 |
| MSS | 2017-03-16 10:55 |
Shimane | Shimane Univ. | Analysis of Cooperative Behavior in Nursing and Caregiving Services Koichi Kobayashi (Hokkaido Univ.), Kunihiko Hiraishi (JAIST), Sunseong Choe (Osaka Univ. of Economics and Law), Naoshi Uchihira (JAIST) MSS2016-82 |
In order to improve quality of nursing and caregiving services, it is important to analyze behavior of service providers... [more] | MSS2016-82 pp.7-10 |
| 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 |
| MSS, SS | 2017-01-26 10:00 |
Kyoto | Kyoto Institute of Technology | Analysis on effort datasets by causal-effect relationship using LiNGAM Masanari Kondo, Osamu Mizuno (Kyoto Inst. Tech.) MSS2016-57 SS2016-36 |
The effort estimation is an important task in the software development. Previous research works proposed models using m... [more] | MSS2016-57 SS2016-36 pp.1-6 |
| MSS | 2016-03-04 09:10 |
Yamaguchi | KAIKYO MESSE SHIMONOSEKI | On Behavioral Analysis of Nursing and Caregiving Services Using Switched Linear Regression Models Koichi Kobayashi (Hokkaido Univ.), Kunihiko Hiraishi, Sunseong Choe, Naoshi Uchihira (JAIST) MSS2015-78 |
In order to improve quality of nursing and caregiving services, it is important to analyze behavior of service providers... [more] | MSS2015-78 pp.57-60 |
| 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 |
|
| NC, MBE | 2015-03-17 10:00 |
Tokyo | Tamagawa University | Three-dimensional Fingertip Trajectory Decoded from Electrocorticogram of Human Cerebral Cortex Yasuhiko Nakanishi (Tokyo Tech), Takufumi Yanagisawa (Osaka Univ), Duk Shin, Hiroyuki Kambara, Natsue Yoshimura (Tokyo Tech), Ryohei Fukuma (ATR), Haruhiko Kishima, Masayuki Hirata (Osaka Univ), Yasuharu Koike (Tokyo Tech) MBE2014-151 NC2014-102 |
Brain-machine interface technology has a possibility to be applied to practical neuroprosthesis for disabled persons. Fo... [more] | MBE2014-151 NC2014-102 pp.195-198 |
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