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Committee Date Time Place Paper Title / Authors Abstract Paper #
HIP 2022-10-18
10:50		 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
pp.26-31
AI 2022-09-15
15:45		 Shizuoka
(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
pp.37-41
MVE 2016-10-13
17:10		 Hokkaido   Accuracy improvement of food photo attractiveness estimation based on consideration of image features
Kazuma Takahashi (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) MVE2016-12		 In our previous research, we proposed a method for predicting the attractiveness of a food photo in order to assist a us... [more] MVE2016-12
pp.41-46
NLP 2008-01-31
17:55		 Hokkaido   Estimate of Attractive Regions of Saturated Systems by using Star Shaped Polytopic Lyapunov Functions
Yuzo Ohta (Kobe Univ.) NLP2007-140		 We show how the combination of piecewise linear Lyapunov functions and
star-shaped polytopic Lyapunov functions can be ... [more]		 NLP2007-140
pp.61-66
NLP 2007-12-19
17:55		 Fukui   Estimate of Attractive Regions for Uncertain Nonlinear Systems in Given Regions
Yuzo Ohta, Takaaki Taguchi (Kobe Univ.) NLP2007-119		 To estimate stability region of systems satisfying polytopic ncertainties in given regions is very important since such ... [more] NLP2007-119
pp.59-64
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