Open Access
| Issue |
J. Eur. Opt. Society-Rapid Publ.
Volume 19, Number 1, 2023
EOSAM 2022
|
|
|---|---|---|
| Article Number | 8 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/jeos/2023001 | |
| Published online | 14 February 2023 | |
- LeCun Y., Bengio Y., Hinton G. (2015) Deep learning, Nature 521, 7553, 436–444. [Google Scholar]
- Barucci A., Cucci C., Franci M., Loschiavo M., Argenti F. (2021) A deep learning approach to ancient egyptian hieroglyphs classification, IEEE Access 9, 123438–123447. [CrossRef] [Google Scholar]
- Shalf J. (2020) The future of computing beyond Moore’s law, Philos. Trans. A Math. Phys. Eng. Sci. 378, 2166, 20190061. [Google Scholar]
- Xingyuan X., Tan M., Corcoran B., Jiayang W., Boes A., Nguyen T.G., Chu S.T., Little B.E., Hicks D.G., Morandotti R., Mitchell A., Moss D.J. (2021) 11 TOPS photonic convolutional accelerator for optical neural networks, Nature 589, 7840, 44–51. [Google Scholar]
- Schrauwen B., Verstraeten D., Campenhout J. (2007) An overview of reservoir computing: theory, applications and implementations, in: Proceedings of the 15th European symposium on artificial neural networks, Bruges, Belgium, April 25–27, pp. 471–482. https://www.esann.org/proceedings/2007. [Google Scholar]
- Huang G.-B., Zhou H., Ding X., Zhang R. (2012) Extreme learning machine for regression and multiclass classification, IEEE Trans. Syst. Man. Cybern. B Cybern. 42, 2, 513–529. [CrossRef] [Google Scholar]
- Saade A., Caltagirone F., Carron I., Daudet L., Dremeau A., Gigan S., Krzakala F. (2016) Random projections through multiple optical scattering: approximating kernels at the speed of light, in: 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP), IEEE. [Google Scholar]
- Sunada S., Kanno K., Uchida A. (2020) Using multidimensional speckle dynamics for high-speed, large-scale, parallel photonic computing, Opt. Express 28, 21, 30349. [Google Scholar]
- Teğin U., Yıldırım M., Oğuz İ., Moser C., Psaltis D. (2021) Scalable optical learning operator, Nat. Comput. Sci. 1, 8, 542–549. [Google Scholar]
- Silva N.A., Ferreira T.D., Guerreiro A. (2021) Reservoir computing with solitons, New J. Phys. 23, 2, 023013. [Google Scholar]
- Marcucci G., Pierangeli D., Conti C. (2020) Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons, Phys. Rev. Lett. 125, 9, 093901. [Google Scholar]
- Lee W.-H. (1979) Binary computer-generated holograms, Appl. Opt. 18, 21, 3661–3669. [NASA ADS] [CrossRef] [Google Scholar]
- Goodman J.W. (2020) Speckle phenomena in optics: theory and applications, 2nd ed., SPIE. [Google Scholar]
- Horn R.A. (2012) Matrix analysis, 2nd ed., Cambridge University Press. https://doi.org/10.1017/CBO9781139020411. [Google Scholar]
- Deng L. (2012) The mnist database of handwritten digit images for machine learning research, IEEE Signal Process. Mag. 29, 6, 141–142. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.