Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2023-05-19 15:40 |
Aichi |
(Primary: On-site, Secondary: Online) |
Object-Centric Representation Learning with Attention Mechanism Hidemoto Nakada, Hideki Asoh (AIST) PRMU2023-13 |
For object-centric representation learning, several slot-based methods, that separate objects using masks and learn the ... [more] |
PRMU2023-13 pp.68-73 |
PRMU |
2020-09-02 16:30 |
Online |
Online |
Representation Learning using Video Frame Prediction and Contrastive Learning Hidemoto Nakada, Hideki Asoh (AIST) PRMU2020-17 |
The recent development in the unsupervised learning area enabled accuracy in the downstream tasks that equal the one wit... [more] |
PRMU2020-17 pp.59-64 |
IBISML |
2020-03-11 11:35 |
Kyoto |
Kyoto University (Cancelled but technical report was issued) |
Pre-training for Action Classification Task Using Video Frame Prediction Task Hidemoto Nakada, Hideki Asoh (AIST) IBISML2019-45 |
Continuous Video frames have strongly correlated with each other and thus include rich information that could be leverag... [more] |
IBISML2019-45 pp.85-90 |
PRMU, BioX |
2019-03-17 15:15 |
Tokyo |
|
Arbitrary Charactor Image Generation in Arbitrary Poses using Neural Network Hidemoto Nakada, Hideki Asoh (AIST) BioX2018-41 PRMU2018-145 |
Thanks to recent improvement of image generation technologies by neural networks, now we can gener- ate photo-realistic ... [more] |
BioX2018-41 PRMU2018-145 pp.73-78 |
SWIM |
2018-05-19 13:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Keynote Address]
AI Embedded in the Real World
-- Development of AI and It's Impact on our Society -- Hideki Asoh (AIST) SWIM2018-1 |
[more] |
SWIM2018-1 p.1 |
PRMU, BioX |
2018-03-18 16:10 |
Tokyo |
|
Toward image inbetweening using Latent Model Paulino Cristovao (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada, Hideki Asoh (AIST) BioX2017-49 PRMU2017-185 |
Image interpolation is a well known problem in computer vision. Many approaches are restricted to optical flow and convo... [more] |
BioX2017-49 PRMU2017-185 pp.79-84 |
PRMU, BioX |
2018-03-18 17:10 |
Tokyo |
|
A Style Transfer Method using Variational Autoencoder Hidemoto Nakada, Hideki Asoh (AIST) BioX2017-56 PRMU2017-192 |
Image Style Transfer is a technique to render arbitrary image content with
arbitrary image 'style'.
Most existing... [more] |
BioX2017-56 PRMU2017-192 pp.121-126 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2014-09-01 17:00 |
Ibaraki |
|
Analysing the Fairness of Fairness-aware Classifiers Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) PRMU2014-47 IBISML2014-28 |
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the in... [more] |
PRMU2014-47 IBISML2014-28 pp.85-92 |
NC, MBE (Joint) |
2013-11-22 14:15 |
Miyagi |
Tohoku University |
Verification of Effectiveness of the Probabilistic Algorithm for Latent Structure Extraction Using Associative Memory Model Kensuke Wakasugi (Univ. Tokyo), Tatsu Kuwatani (Tohoku Univ.), Kenji Nagata (Univ. Tokyo), Hideki Asoh (AIST), Masato Okada (Univ. Tokyo/RIKEN) NC2013-49 |
There are many analysis methods for high-dimensional data, but, in many cases, analysis is done under assumption that a ... [more] |
NC2013-49 pp.17-22 |
IBISML |
2013-07-18 13:50 |
Tokyo |
Nishiwaseda Campus (Waseda univ.) |
An improvement of a Neutrality Term in an Information-neutral Recommender System Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) IBISML2013-7 |
Information-neutral recommender systems aim to make recommendations whose neutrality from the specified viewpoint is gua... [more] |
IBISML2013-7 pp.43-50 |
NC, NLP |
2013-01-24 10:10 |
Hokkaido |
Hokkaido University Centennial Memory Hall |
Analysis of Medical Treatment Data using Inverse Reinforcement Learning Hideki Asoh, Masanori Shiro, Toshihiro Kamishima, Shotaro Akaho (AIST), Takahide Kohro (Univ. of Tokyo Hospital) NLP2012-106 NC2012-96 |
It is an important issue to utilize large amount of medical records which are accumulated on medical information systems... [more] |
NLP2012-106 NC2012-96 pp.13-17 |
NC |
2012-01-27 13:30 |
Hokkaido |
Future University Hakodate |
Analysis of Time Series Data Accompanied with Rewards and Actions using Reinforcement Learning Hideki Asoh, Masanori Shiro, Toshihiro Kamishima, Shotaro Akaho (AIST), Takahide Kohro (Univ. Tokyo) NC2011-115 |
Although the main applications of reinforcement learning (RL) is online
learning of intelligent agents working in envir... [more] |
NC2011-115 pp.107-112 |
NC, NLP |
2011-01-24 18:25 |
Hokkaido |
Hokakido Univ. |
Model Adaptation with Bayesian Hierarchical Models Hideki Asoh (AIST) NLP2010-140 NC2010-104 |
Model adaptation is a process of modifying general model which is trained with large amount of training data to adapt a ... [more] |
NLP2010-140 NC2010-104 pp.93-98 |
IBISML |
2010-11-04 15:00 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
A Study of Extracting Personally Meaningful Places from Sparse Location Histories Mori Kurokawa, Hiroyuki Yokoyama (KDDI R&D Labs.), Kazuyoshi Yoshii, Hideki Asoh (AIST) IBISML2010-65 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-65 pp.45-49 |
IBISML |
2010-06-14 16:40 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Collaborative Filtering with A Bayesian Hierarchical Model Hideki Asoh (AIST) IBISML2010-10 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-10 pp.57-62 |
NC |
2010-01-19 13:55 |
Hokkaido |
Hyakunen-Kinen in Hokkaido University |
Analysis of the Difference of Food Menu Preference Between Supposed and Real Situations Hideki Asoh, Yoichi Motomura (AIST), Chihiro Ono (KDDI Labs) NC2009-85 |
Modeling users' preference becomes important for providing personalized services. In order to construct context-aware st... [more] |
NC2009-85 pp.83-88 |
EA |
2009-06-26 16:30 |
Hokkaido |
|
A study of acoustic simulation for humanoid robot Kiyoshi Yamamoto, Futoshi Asano, Yosuke Matsusaka, Isao Hara, Hideki Asoh (AIST), Makoto Otani, Yukio Iwaya (Tohoku Univ.) EA2009-35 |
It is important to evaluate speech interface in real environment. However, it is difficult to provide diverse environmen... [more] |
EA2009-35 pp.103-108 |
NC |
2009-01-20 15:30 |
Hokkaido |
Hokkaido Univ. |
Model Adaptation in Preference Modeling Hideki Asoh, Yoichi Motomura (National Inst. of Adv Ind Scie and Tech.), Chihiro Ono (KDDI R&D Lab,Inc.) NC2008-100 |
Modeling users' preference becomes important for providing personalized services. In order to construct context-aware st... [more] |
NC2008-100 pp.101-106 |
NC |
2006-10-11 16:05 |
Nara |
NAIST |
On Integration of Collaborative and Attribute-based Filtering Hideki Asoh (AIST), Chihiro Ono (KDDI R&D Labs.), Yoichi Motomura (AIST), Mori Kurokawa, Akito Sakurai (Keio Univ.) |
[more] |
NC2006-54 pp.55-59 |
PRMU |
2006-03-16 09:30 |
Fukuoka |
Kyushu Univ. |
Learning Abstract Concepts and Words from Perception Based on Bayesian Model Selection Naoto Iwahashi (ATR), Ken Satoh (NII), Hideki Asoh (AIST) |
[more] |
PRMU2005-234 pp.7-12 |