Publisher
Japan Society of Kansei Engineering
Reference23 articles.
1. 1. Rhodes, G.; The evolutionary psychology of facial beauty, Annual Review of Psychology, 57, pp.199-226, 2006.
2. 2. Adolphs, R., Nummenmaa, L., Todorov, A., and Haxbym, J. V.; Data-driven approaches in the investigation of social perception, Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1693), 20150367, 2016.
3. 3. Kagian, A., Dror, G., Leyvand, T., Meilijson, I., Cohen-Or, D., and Ruppin, E.; A machine learning predictor of facial attractiveness revealing human-like psychophysical biases, Vision Research, 48(2), pp.235-243, 2008.
4. 4. Xu, J., Jin, L., Liang, L., Feng, Z., Xie, D., and Mao, H.; Facial attractiveness prediction using psychologically inspired convolutional neural network (PI-CNN), Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1657-1661, 2017.
5. 5. Xu, J., Jin, L., Liang, L., Feng, Z., and Xie, D.; A new humanlike facial attractiveness predictor with cascaded fine-tuning deep learning model, arXiv preprint arXiv:1511.02465, 2015.