Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2020-03-17 09:30 |
Kyoto |
(Cancelled but technical report was issued) |
Object area extraction with biased training data set Ryo Nakamura, Yoshiaki Ueda, Jun Fujiki, Masaru Tanaka (Fukuoka Univ) PRMU2019-88 |
In order to extract an object region using machine learning, it is necessary to give a teacher label to each pixel. Prov... [more] |
PRMU2019-88 pp.115-119 |
PRMU |
2019-12-20 14:15 |
Oita |
|
Estimation of $q$-value of $q$-normal distribution through CNN Yukito Miyakawa, Ryosuke Hosaka, Masaru Tanaka (Fukuoka Univ.) PRMU2019-58 |
It is usually assumed that the given data follow a normal distribution or $t$ distribution for the sake of simplicity.Th... [more] |
PRMU2019-58 pp.75-80 |
NC, MBE |
2019-12-06 13:50 |
Aichi |
Toyohashi Tech |
CNN with Aperture Synthesis
-- Toward making anotation tasks simpler and easier -- Ryo Nakamura, Masaru Tanaka, Jun Fuji, Yoshiaki Ueda (Fukuoka Univ) MBE2019-52 NC2019-43 |
(To be available after the conference date) [more] |
MBE2019-52 NC2019-43 pp.43-48 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 15:50 |
Okinawa |
Okinawa Institute of Science and Technology |
3D Super Resolution Microscopy using Convolutional Neural Network Masaru Tanaka (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.) IBISML2018-11 |
Super-resolution microscopy is a microscopy technique with a resolution beyond the diffraction limit of light. Despite t... [more] |
IBISML2018-11 pp.75-80 |
PRMU, MVE, IPSJ-CVIM [detail] |
2018-01-18 18:05 |
Osaka |
|
Convolutional Neural Network based on Entanglement Entropy and Convolutional Neural Network based on Principal Component Analysis Shu Eggchee, Masaru Tanaka (Fukuoka Univ.) PRMU2017-129 MVE2017-50 |
In this paper, we study the differences in the CNN performing processing in accordance with the data using the CNN and e... [more] |
PRMU2017-129 MVE2017-50 pp.141-146 |
IBISML |
2017-11-09 13:00 |
Tokyo |
Univ. of Tokyo |
Quantum inspired Machine Learning through Entanglement Entropy Masaru Tanaka (Fukuoka UNiv.) IBISML2017-50 |
CNN has been successful in image classification, but we want to focus on the relationship with other fields. In particul... [more] |
IBISML2017-50 pp.115-122 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
Convolutional Neural Network with Entanglement Entropy Shu Eguchi, Masaru Tanaka (Fukuoka Univ.) IBISML2017-65 |
In this paper, we propose a CNN with a process to reduce unnecessary information to identify input data using entangleme... [more] |
IBISML2017-65 pp.227-233 |
PRMU |
2017-10-12 14:00 |
Kumamoto |
|
Entanglement Entropic Convolutional Neural Network Shu Eguchi, Masaru Tanaka (Fukuoka Univ.) PRMU2017-73 |
The neural network used for machine learning is an extract that extracts information necessary for classification from e... [more] |
PRMU2017-73 pp.61-66 |
EE, WPT, IEE-SPC [detail] |
2017-07-27 09:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Invited Lecture]
High-Temperature Rectifier
-- An Optimum Temperature of Rectifying Diodes -- Shinji Abe, Masaru Tanaka, Yuki Aoyagi, Hiroki Kuniyoshi, Naoki Sakai, Takashi Ohira (TUT) EE2017-11 WPT2017-16 |
This report presents ideas, design and implementation for
``IEICE WPT COMPETITION 2017 SPRING - Radio Frequency Rectifi... [more] |
EE2017-11 WPT2017-16 pp.5-10 |
PRMU, BioX |
2017-03-20 10:25 |
Aichi |
|
Heisemberg group and exponential family
-- From the point of view of information geometry -- Akira Tokimatsu, Masaru Tanaka (Fukuoka Univ.) BioX2016-34 PRMU2016-197 |
(To be available after the conference date) [more] |
BioX2016-34 PRMU2016-197 pp.7-10 |
PRMU, BioX |
2017-03-21 16:50 |
Aichi |
|
On Data Extension For Signal Data Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.) BioX2016-73 PRMU2016-236 |
Efficient learning using limited data in machine learning is also important now even in the era of big data. In the case... [more] |
BioX2016-73 PRMU2016-236 pp.237-242 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Musical Instrument Sound Classification through CNN with Wavelet Analysis Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.) IBISML2016-51 |
In music information processing, the instrument sounds analysis using a computer is an important research theme to analy... [more] |
IBISML2016-51 pp.45-49 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Normal distributions and Heisenberg group
-- From the point of view of information geometry -- Akira Tokimatsu, Masaru Tanaka (Fukuoka Univ.) IBISML2016-53 |
[more] |
IBISML2016-53 pp.55-57 |
IBISML |
2016-11-17 17:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
How to make Tsallis entropy become an additive entropy Masaru Tanaka (Fukuoka Univ.) IBISML2016-99 |
$tau$-information geometry, that is a new formulation of information geometry, is given by extending a translation opera... [more] |
IBISML2016-99 pp.381-386 |
EMCJ, WPT (Joint) |
2016-01-28 11:20 |
Kumamoto |
Kumamoto National Colle. Technology |
Capacitive Coupling Wireless Power Transfer Using Mesh Electrodes Shinji Abe, Yuki Aoyagi, Hiroki Kuniyoshi, Masaru Tanaka, Naoki Sakai, Takashi Ohira (TUT) WPT2015-64 |
This paper presents capacitive coupling wireless power transfer using mesh electrodes.
Mesh structure has a number of a... [more] |
WPT2015-64 pp.5-10 |
WPT (2nd) |
2015-12-10 11:00 |
Overseas |
TamKang University, Tamsui Campus |
Sakihara-Moebius Harmonometer to Measure Simultaneous Voltage and Current on Nonlinear Devices and Circuits Masaru Tanaka, Kyohei Yamada, Naoki Sakai, Takashi Ohira (TUT) |
[more] |
|
IBISML |
2015-11-26 15:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
On a family of $q$-normal distributions in the framework of $tau$-information geometry Masaru Tanaka (Fukuoka Univ.) IBISML2015-62 |
$tau$-information geometry, that is a new formulation of information geometry, is given by extending a translation opera... [more] |
IBISML2015-62 pp.69-73 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2015-09-14 13:00 |
Ehime |
|
On the statistical properties and parametrization of curved exponential families
-- from the view point of $tau$-information geometry -- Masaru Tanaka (Fukuoka Univ.) PRMU2015-69 IBISML2015-29 |
For curved exponential family, its statistical properties depend on a parameterization. In 1982, Hougaard gives single d... [more] |
PRMU2015-69 IBISML2015-29 pp.13-18 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2015-09-14 13:30 |
Ehime |
|
Curved exponential family fitting in the space of normal distribution Jun Fujiki, Masaru Tanaka (Fukuoka Univ.), Shotaro Akaho (AIST) PRMU2015-70 IBISML2015-30 |
We consider the manifold fitting to a given set of points in the space
of probability distributions.
Although only t... [more] |
PRMU2015-70 IBISML2015-30 pp.19-24 |
SIP, EA, SP |
2015-03-03 09:00 |
Okinawa |
|
[Poster Presentation]
Fisher's linear discriminant analysis as a communication of categories Jun Fujiki, Masaru Tanaka (Fukuoka Univ.), Hitoshi Sakano (NTT Data), Akisato Kimura (NTT) EA2014-102 SIP2014-143 SP2014-165 |
[more] |
EA2014-102 SIP2014-143 SP2014-165 pp.163-168 |