Items where Author is "Onizawa, Naoya"

Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T., & Gross, W. J. (2017). VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25(10), 2688-2699. External link

Boga, K., Leduc-Primeau, F., Onizawa, N., Matsumiya, K., Hanyu, T., & Gross, W. J. (2016). A Generalized Stochastic Implementation of the Disparity Energy Model for Depth Perception. Journal of Signal Processing Systems, 90(5), 709-725. External link

Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T., & Gross, W. J. (2016, September). VLSI implementation of deep neural networks using integral stochastic computing [Paper]. 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France. External link

Boga, K., Onizawa, N., Leduc-Primeau, F., Matsumiya, K., Hanyu, T., & Gross, W. J. (2015, October). Stochastic implementation of the disparity energy model for depth perception [Paper]. IEEE Workshop on Signal Processing Systems (SiPS 2015), Hangzhou, China (6 pages). External link