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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2023-05-19
(Primary: On-site, Secondary: Online)
Object Centric Representation Learning with Transformer
Hidemoto Nakada, Hideki Asoh (AIST)
PRMU 2020-09-02
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
IBISML 2020-03-11
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
PRMU, BioX 2019-03-17
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
SWIM 2018-05-19
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
PRMU, BioX 2018-03-18
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
PRMU, BioX 2018-03-18
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
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
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
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
IBISML 2013-07-18
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
NC, NLP 2013-01-24
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
NC 2012-01-27
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]
NC, NLP 2011-01-24
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
IBISML 2010-11-04
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
IBISML 2010-06-14
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
NC 2010-01-19
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
EA 2009-06-26
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
NC 2009-01-20
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
NC 2006-10-11
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
PRMU 2006-03-16
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
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