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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
HIP 2022-10-18
Kyoto Kyoto Terrsa
(Primary: On-site, Secondary: Online)
Examination of facial attractiveness features using geometric morphological analysis of and deep learning methods.
Takanori Sano, Hideaki Kawabata (Keio Univ.) HIP2022-52
In psychology, various studies have been conducted on the features that constitute facial attractiveness. In recent year... [more] HIP2022-52
AI 2022-09-15
(Primary: On-site, Secondary: Online)
Comparison of results for different datasets of facial attractiveness features extracted using gradient-weighted class activation mapping
Takanori Sano (Keio Univ.) AI2022-24
In recent years, research using deep learning to analyze faces to identify the features that make up facial attractivene... [more] AI2022-24
ET 2017-03-10
Ehime National Institute of Technology, Niihama College On Development of Education Materials for an Active Engineering Learning Center
Hideaki Okazaki, Kaito Isogai (SIT) ET2016-118
We report development of education materials for an active engineering learning that can be provided for the active engi... [more] ET2016-118
CAS 2016-01-29
Tokyo Kikai-Shinko-Kaikan Bldg. On Education Materials of Systems and Control for an Active Engineering Learning
Hideaki Okazaki, Kaito Isogai (SIT) CAS2015-76
We discuss system and control education materials for an active engineering learning that can be provided for the active... [more] CAS2015-76
ET 2015-03-14
Tokushima Shikoku Univ. Plaza Establishment of an Active Engineering Learning Center on the basis of a Visualization
Hideaki Okazaki, Fumihiro Inoue (Shonan Inst. Tech.), Michiya Inoue (Tokyo D Univ), Fumio Ozaki, Toshiaki Kagawa, Hiroyuki Sato, Hiroshi Takahashi, Toshihiro Tachibana, Kaya Nagasawa, Hiroshi Ninomiya, Takako Nonaka, Hikaru Mizutani (Shonan Inst. Tech.) ET2014-93
We show an establishment of an active engineering learning center on the basis of a visualization, and especially presen... [more] ET2014-93
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