A Multi-graph Fusion Based Manifold Embedding for Face Beauty Prediction-Reference-Cited by-同舟云学术

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A Multi-graph Fusion Based Manifold Embedding for Face Beauty Prediction

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Image Processing and Media Computing (ICIPMC)
language:
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Author:

Wang Kunwei¹,Feng Xiaoyi¹,Dornaika Fadi²,Huang Dong³,Xia Zhaoqiang¹

Affiliation:

1. Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China

2. University of the Basque Country,Faculty of Information,San Sebastian,Spain

3. Air Force Medical University,Military Biomedical Engineering School,Xi’an,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9886004/9887370/09887405.pdf?arnumber=9887405

Reference27 articles.

1. All That Glitters: A Review of Psychological Research on the Aesthetics of the Golden Section

2. A new face feature point matrix based on geometric features and illumination models for facial attraction analysis;jian;Discrete and Continuous Dynamical Systems - Series B,2018

3. A machine learning predictor of facial attractiveness revealing human-like psychophysical biases

4. Multiple Graph Label Propagation by Sparse Integration

5. Dynamic graph fusion label propagation for semi-supervised multi-modality classification

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