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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SANE | 2023-12-08 09:10 |
Overseas | Surakarta, Indonesia (Primary: On-site, Secondary: Online) |
Large-Scale Urban Mapping Using Earth Observation Data: A Systematic Review Ahmad Luthfi Hadiyanto, Ahmad Maryanto, Muchammad Soleh, Farikhotul Chusnayah, Deni Kartika, Kurdianto (BRIN)  SANE2023-66 |
Large-scale urban mapping using remote sensing data may provide detailed information represented as individual objects o... [more] | SANE2023-66 pp.36-41 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2022-12-01 15:20 |
Tokyo | (Primary: On-site, Secondary: Online) |
Domain and language adaptation of large-scale pretrained model for speech recognition of low-resource language Kak Soky (Kyoto University), Sheng Li (NICT), Chenhui Chu, Tatsuya Kawahara (Kyoto University) NLC2022-17 SP2022-37 |
The self-supervised learning (SSL) models are effective for automatic speech recognition (ASR). Due to the huge paramete... [more] | NLC2022-17 SP2022-37 pp.45-49 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:15 |
Online | Online | Contrastive Self-Supervised Learning Framework for Unsupervised Video Summarization Xianliang Zhang, Li Tao (UTokyo), Xueting Wang (CyberAgent AI Lab), Toshihiko Yamasaki (UTokyo) ITS2021-44 IE2021-53 |
The rapid growth of video data aggravates the effort by viewers in exploring informative data. This paper presents a fra... [more] | ITS2021-44 IE2021-53 pp.115-120 |
| CQ (2nd) |
2021-01-21 13:30 |
Online | Online | [Invited Lecture]
Individual representation of creativity using large-scale brain dataset Takeshi Ogawa (ATR) |
Thanks to development of machine learning methods based on large-scale data, it has made huge impacts on not only image ... [more] | |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-17 14:45 |
Hokkaido | Hokkaido Univ. | A note on hierarchical structure extraction of Web video communities and its application to large-scale datasets Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a hierarchical structure extraction method of Web video communities which can be applied to la... [more] | |
| PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-03 09:30 |
Tokyo | Simultaneous training of multi-class object detectors via large scale image dataset
-- introduction of target specific negative classes -- Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Tatsuya Harada, Yasuo Kuniyoshi (Univ. Tokyo) PRMU2012-42 IBISML2012-25 |
We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset. The ... [more] | PRMU2012-42 IBISML2012-25 pp.105-112 |
|
| PRMU, FM | 2010-12-10 09:30 |
Yamaguchi | Classifier-Independent Feature Selection for Large-Scale Data Shingo Yanagihori, Mineichi Kudo (Hokkaido Univ.) PRMU2010-139 |
In this study, we attempt to perform classifier-independent feature selection (CIFS) for large-scale data such as text c... [more] | PRMU2010-139 pp.73-78 |
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