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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2022-12-22 15:30 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
[Short Paper]
Semi supervised image classification using unreliable pseudo label Jihong Hu, Yinhao Li, Yen-Wei Chen (Ritsumeikan Univ.)  IBISML2022-47 |
Semi-supervised learning (SSL), which automatically annotates unlabeled data with pseudo labels during training, has ach... [more] | IBISML2022-47 pp.24-29 |
| RCS | 2022-06-17 10:25 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
A Study on Support Vector Classification-Aided Regression with Ensemble Learning for GNSS Positioning Shugo Maruyama, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2022-60 |
In Global Navigation Satellite System (GNSS) positioning, the receiver position is estimated by solving the nonlinear si... [more] | RCS2022-60 pp.212-217 |
| NLC | 2022-03-07 15:50 |
Online | Online | Simile identification based on machine learning using pseudo data acquisition Jintaro Jimi, Kazutaka Shimada (Kyutech) NLC2021-36 |
Simile is a kind of figurative language. It expresses the target of the figurative language by using comparators such a... [more] |
NLC2021-36 pp.48-53 |
| RCS, SIP, IT | 2022-01-20 14:30 |
Online | Online | A Study on Deep Unfolding-Aided GNSS Positioning Yuki Hayama, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2021-43 SIP2021-51 RCS2021-211 |
In Global Navigation Satellite System (GNSS) positioning, the receiver position is estimated by solving the nonlinear si... [more] | IT2021-43 SIP2021-51 RCS2021-211 pp.87-92 |
| MI | 2021-07-09 14:00 |
Online | Online | Severity determination of chest CT data in tuberculosis patients using deep learning Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2021-19 |
The purpose of this study is to make accurate estimates for five labels (infiltrative, focal, tuberculoma, miliary, and ... [more] | MI2021-19 pp.42-46 |
| RCS | 2021-06-24 13:00 |
Online | Online | A Study on Recurrent Neural Network Aided GNSS Positioning Kohei Nishioka, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2021-53 |
One method of positioning schemes with the aid of the global navigation satellite system (GNSS) is to approximately solv... [more] | RCS2021-53 pp.145-150 |
| DE, IPSJ-DBS | 2018-12-22 14:55 |
Tokyo | National Institute of Informatics | Linear processing type optimum future prediction of signals applying Kida's optimum signal-approximation to multi-dimensional signals that are made by arranging known region restriction data in a row Takuro Kida (Tokyo Inst. Tech.), Yuichi Kida (OHU Univ.) DE2018-29 |
With respect to a matrix-filterbank that the matrix analysis-filterbank ${bf H}$ and the matrix sampling-filterbank ${bf... [more] | DE2018-29 pp.65-70 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 09:30 |
Okinawa | Okinawa Institute of Science and Technology | Expectation Propagation for t-Exponential Family Futoshi Futami, Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-6 |
Exponential family distributions are highly useful in machine learning since their calculation can be performed efficien... [more] | IBISML2017-6 pp.179-184 |
| CAS, ICTSSL | 2017-01-27 15:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | On an application of bivariate fractal interpolation surface and deep learning Kazuya Ozawa, Hiroyuki Yamada, Hideo Nakano, Hideaki Okazaki (SIT) CAS2016-111 ICTSSL2016-65 |
We discuss and the deep learning method which can optimize the value of individual vertical scaling factor of fractal in... [more] | CAS2016-111 ICTSSL2016-65 pp.165-166 |
| PRMU | 2011-03-11 15:30 |
Ibaraki | Character Recognition in Three-Dimensional Space Ryo Narita, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura (Mie Univ.) PRMU2010-284 |
In this paper, we propose a new method of recognizing rotated characters in three-dimensional space. In the proposed met... [more] | PRMU2010-284 pp.275-279 |
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