Author:
Amin Youssef,Gianoglio Christian,Valle Maurizio
Publisher
Springer International Publishing
Reference18 articles.
1. Lederman, S.J., Klatzky, R.L.: Hand movements: a window into haptic object recognition. Cogn. Psychol. 19(3), 342–368 (1987)
2. Gianoglio, C., Ragusa, E., Gastaldo, P., Valle, M.: A novel learning strategy for the trade-off between accuracy and computational cost: a touch modalities classification case study. IEEE Sens. J. 22(1), 659–670 (2021)
3. Klatzky, R.L., Lederman, S.J.: Identifying objects from a haptic glance. Percept. Psychophysics 57(8), 1111–1123 (1995)
4. Ragusa, E., Gianoglio, C., Zunino, R., Gastaldo, P.: A design strategy for the efficient implementation of random basis neural networks on resource-constrained devices. Neural Process. Lett. 51, 1–19 (2019)
5. Ragusa, E., Gianoglio, C., Zunino, R., Gastaldo, P.: Random-based networks with dropout for embedded systems. Neural Comput. Appl. 33(12), 6511–6526 (2020). https://doi.org/10.1007/s00521-020-05414-4
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