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H. Palangi, Ward, R. K. , and Deng, L. , “Distributed Compressive Sensing: A Deep Learning Approach.”, IEEE Trans. Signal Processing, vol. 64, pp. 4504–4518, 2016.
H. Palangi, Ward, R. K. , and Deng, L. , “Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors.”, ICASSP. pp. 3337–3341, 2013.
H. Park, Dorrance, R. , Amin, A. , Ren, F. , Marković, D. , and Yang, C. K. Ken, “Analysis of STT-RAM Cell Design With Multiple MTJs Per Access”, Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH). IEEE Computer Society, pp. 53-58, 2011. (320.88 KB)
B. Pérez-Sánchez, Fontenla-Romero, O. , and Guijarro-Berdiñas, B. , “A supervised learning method for neural networks based on sensitivity analysis with automatic regularization”, International Work-Conference on Artificial Neural Networks. Springer, pp. 157–164, 2009.
A. Putnam, Caulfield, A. M. , Chung, E. S. , Chiou, D. , Constantinides, K. , Demme, J. , Esmaeilzadeh, H. , Fowers, J. , Gopal, G. Prashanth, Gray, J. , and , , “A reconfigurable fabric for accelerating large-scale datacenter services”, IEEE Micro, vol. 35, pp. 10–22, 2015.