Shitomi, R., Tsuji, M., Fujimura, Y., Funatomi, T., Mukaigawa, Y., Morimoto, T., . . . Ikeuchi, K. (2023). Unsupervised learning with a physics-based autoencoder for estimating the thickness and mixing ratio of pigments. Journal of the Optical Society of America. A, Optics, image science, and vision, 40(1), 116. https://doi.org/10.1364/JOSAA.472775
Citace podle Chicago (17th ed.)Shitomi, Ryuta, Mayuka Tsuji, Yuki Fujimura, Takuya Funatomi, Yasuhiro Mukaigawa, Tetsuro Morimoto, Takeshi Oishi, Jun Takamatsu, a Katsushi Ikeuchi. "Unsupervised Learning with a Physics-based Autoencoder for Estimating the Thickness and Mixing Ratio of Pigments." Journal of the Optical Society of America. A, Optics, Image Science, and Vision 40, no. 1 (2023): 116. https://doi.org/10.1364/JOSAA.472775.
Citace podle MLA (9th ed.)Shitomi, Ryuta, et al. "Unsupervised Learning with a Physics-based Autoencoder for Estimating the Thickness and Mixing Ratio of Pigments." Journal of the Optical Society of America. A, Optics, Image Science, and Vision, vol. 40, no. 1, 2023, p. 116, https://doi.org/10.1364/JOSAA.472775.