Application of Gaussian Process Preference Learning for Visualizing Facial Features Related to Personality Traits-Reference-Cited by-同舟云学术

Application of Gaussian Process Preference Learning for Visualizing Facial Features Related to Personality Traits

Published:2021-12-08 Issue: Volume: Page:
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Container-title:2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
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Author:

Shiroshita Keito¹,Komori Masashi²,Nakamura Koyo³,Kobayashi Maiko⁴,Watanabe Katsumi⁴

Affiliation:

1. Osaka Electro-Communication University, 18-8 Hatsucho,Graduate School of Engineering,Neyagawa,Osaka,Japan,572-8530

2. Osaka Electro-Communication University, 18-8 Hatsucho,Faculty of Information and Communication Engineering,Neyagawa,Osaka,Japan,572-8530

3. University of Vienna, Liebiggasse 5,Faculty of Psychology,Department of Cognition, Emotion, and Methods in Psychology,Vienna,Austria,1010

4. Waseda University, 3-4-1, Okubo,Faculty of Science and Engineering,Shinjuku-ku,Tokyo,Japan,169-8555

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718231/9718367/09718431.pdf?arnumber=9718431

Reference17 articles.

1. A tutorial on bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning;brochu;arXiv preprint arXiv 1012 2599,2010

2. Bayesian Methods for Backpropagation Networks

3. Extracting Prototypical Facial Images from Exemplars

4. Attractive Faces Are Only Average

5. Measuring the physical in physical attractiveness: Quasi-experiments on the sociobiology of female facial beauty.

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