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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 10:46 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automated musculoskeletal segmentation of torso CT images Sanaa Amina Gourine, Mazen Soufi, Yoshito Otake (NAIST), Yuto Masaki (NAIST-PSP Corporation), Yoko Murakami, Yukihiro Nagatani, Yoshiyuki Watanabe (Shiga Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST)  MI2023-70 |
Musculoskeletal segmentation (MSK) in CT is helpful for several applications, including body composition analysis, biome... [more] | MI2023-70 pp.122-126 |
| MI | 2021-03-15 15:30 |
Online | Online | Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets Bin Zhang, Yoshito Otake, Mazen Soufi (NAIST), Masatoshi Hori (Kobe University), Noriyuki Tomiyama (Osaka University), Yoshinobu Sato (NAIST) MI2020-60 |
Manual annotation in image segmentation is time-consuming and expensive. In order to obtain large number of annotated da... [more] | MI2020-60 pp.62-65 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Active learning for identifying local minimum points based on the derivative of Gaussian process Yu Inatsu (RIKEN), Daisuke Sugita (NITech), Kazuaki Toyoura (Kyoto Univ.), Ichiro Takeuchi (NITech/RIKEN/NIMS) IBISML2018-94 |
In many fields such as materials science, knowing local minimum points of unknown functions is important for understand... [more] | IBISML2018-94 pp.373-380 |
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Stochastic process representation of R-tree Masahiro Nakano, Xiaomeng Wu, Minoru Mori, Akisato Kimura, Kunio Kashino (NTT) IBISML2015-76 |
This paper discusses a new stochastic process that represents the in nitely exchangeable rectangular partitioning of a m... [more] | IBISML2015-76 pp.175-182 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 10:30 |
Tottori | Study of Recognizing Spontaneous Facial Expressions of a Person who Watches Web News Based on ASM and Bayesian Network Chao Xu, Jun Ohya (Waseda Univ.) PRMU2013-34 IBISML2013-14 |
To achieve a comment system that can automatically estimate emotions of a person who watches web news, this paper propos... [more] | PRMU2013-34 IBISML2013-14 pp.7-12 |
|
| NC, MBE (Joint) |
2008-03-14 13:20 |
Tokyo | Tamagawa Univ | Active sampling based on Gaussian Process for reinforcement learning Kazuhiro Takeda, Takeshi Mori (ＮＡＩＳＴ), Shin Ishii (Kyoto Univ.) NC2007-192 |
In reinforcement learning (RL), many samples are necessary in every policy improvement, which requires the robot actual... [more] |
NC2007-192 pp.473-478 |
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