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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2023-12-07 13:30 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
A theory of model- and task-agnostic multi-task learning Hideaki Ishibashi (Kyutech)  SIS2023-27 |
[more] | SIS2023-27 pp.19-24 |
| NC, MBE (Joint) |
2021-03-03 16:00 |
Online | Online | What is the true objective of multi-task manifold modeling?
-- Comparison of maximum likelihood and optimal transport approaches -- Ryo Tsuno, Hideaki Ishibashi, Tetsuo Furukawa (KIT) NC2020-52 |
[more] | NC2020-52 pp.53-58 |
| NLP, NC (Joint) |
2020-01-24 10:50 |
Okinawa | Miyakojima Marine Terminal | Visualization tool for basketball team performance by multi-level SOM Kanta Senoura, Hideaki Ishibashi, Tetsuo Furukawa (KIT) NC2019-64 |
The purpose of this work is to develop a method to visualize the relation between the team performance and the member co... [more] | NC2019-64 pp.27-31 |
| IBISML | 2020-01-09 13:50 |
Tokyo | ISM | Dimensionality reduction method for gaussian process posteriors based on information geometry Hideaki Ishibashi (Kyutech), Shotaro Akaho (AIST/RIKEN) IBISML2019-20 |
This paper proposes an extension of principal component analysis for gaussian process posteriors which is denoted by GP-... [more] | IBISML2019-20 pp.17-24 |
| MBE, NC (Joint) |
2017-11-24 16:50 |
Miyagi | Tohoku University | NC2017-32 |
Continuous latent variable model is a category of dimension reduction methods, which estimates low dimensional latent va... [more] | NC2017-32 pp.29-34 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Evaluation of KL-divergence between Gaussian process posteriors by finite dimensional normal distributions Hideaki Ishibashi, Tetsuo Furukawa (Kyutech), Shotaro Akaho (AIST) IBISML2017-55 |
[more] | IBISML2017-55 pp.155-160 |
| NC, NLP (Joint) |
2017-01-26 16:50 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | intrinsic viewpoint estimation of multiple survey dataset Hideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa (Kyutech) NC2016-54 |
In the field of computer vision, 3D reconstruction method which estimates the three-dimensional shape of an object captu... [more] | NC2016-54 pp.37-41 |
| NC, MBE (Joint) |
2013-07-20 09:55 |
Tokushima | The University of Tokushima | Individual visualization of lifestyle pattern by SOM2 with class estimation Hideaki Ishibashi, Toru Iwasaki, Keiichi Horio (Kyushu Inst. of Tech.), Hideyuki Namba (Wayo Women's Univ), Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-20 |
To decrease the risk of lifestyle-related deseases, it is important to recognize the life pattern such as exercise and s... [more] | NC2013-20 pp.29-34 |
| MBE, NC (Joint) |
2012-03-14 14:35 |
Tokyo | Tamagawa University | Viewpoint map organized by another-SOM2 Hideaki Ishibashi, Tetsuo Furukawa (Kyutech) NC2011-137 |
The aim of this work is to develop a Self-Organizing Map (SOM) which organizes a map of viewpoints. For example, the r... [more] |
NC2011-137 pp.93-98 |
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