IEEE Circuits and Systems Magazine - Q1 2018 - 44

with resistive crosspoint array for dictionary learning," in Proc. IEEE
Biomedical Circuits and Systems Conf., Oct. 2014, pp. 536-539.
[30] S. Liu, A. Ren, Y. Wang, and P. K. Varshney, "Ultra-fast robust compressive sensing based on memristor crossbars," in Proc. IEEE Int. Conf.
Acoustics, Speech and Signal Processing, 2017, pp. 1133-1137.
[31] S. B. Eryilmaz, E. Neftci, S. Joshi, S. Kim, M. BrightSky, H.-L. Lung,
C. Lam, G. Cauwenberghs, and H.-S. P. Wong, "Training a probabilistic
graphical model with resistive switching electronic synapses," IEEE
Trans. Electron. Devices, vol. 63, no. 12, pp. 5004-5011, 2016.
[32] L. Chen, C. Li, T. Huang, Y. Chen, and X. Wang, "Memristor crossbar-based unsupervised image learning," Neural Comput. Applicat., vol.
25, no. 2, pp. 393-400, 2014.
[33] L. Chen, C. Li, T. Huang, S. Wen, and Y. Chen, "Memristor crossbar
array for image storing," in Proc. Int. Symp. Neural Networks, 2015, pp.
166-173.
[34] R. Mansini, W. Ogryczak, and M. G. Speranza, "Twenty years of linear programming based portfolio optimization," Eur. J. Oper. Res., vol.
234, no. 2, pp. 518-535, 2014.
[35] C. M. Bishop, Pattern Recognition and Machine Learning. New York:
Springer, 2006.
[36] F. Bach, R. Jenatton, J. Mairal, and G. Obozinski, "Optimization with
sparsity-inducing penalties," Found. Trends Mach. Learn., vol. 4, no. 1,
pp. 1-106, Jan. 2012.
[37] S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge,
U.K.: Cambridge Univ. Press, 2004.
[38] M. Hu, H. Li, Q. Wu, and G. Rose, "Hardware realization of neuromorphic BSB model with memristor crossbar network," in Proc. IEEE
Design Automation Conf., 2012, pp. 554-559.
[39] D. Kadetotad, Z. Xu, A. Mohanty, P.-Y. Chen, B. Lin, J. Ye, S. Vrudhula, S. Yu, Y. Cao, and J.-S. Seo, "Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning," in Proc.
IEEE Biomedical Circuits and Systems Conf., 2014, pp. 536-539.
[40] I. K. Fodor, "A survey of dimension reduction techniques," Lawrence Livermore Nat. Lab., Livermore, CA, Tech. Rep., 2002.
[41] S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, "Distributed optimization and statistical learning via the alternating direction
method of multipliers," Found. Trends Mach. Learn., vol. 3, no. 1, pp.
1-122, 2011.
[42] G. H. Golub and C. F. Van Loan, Matrix Computations, vol. 3. JHU
Press, 2012.
[43] M. Di Ventra, Y. V. Pershin, and L. O. Chua, "Circuit elements with
memory: Memristors, memcapacitors, and meminductors," Proc. IEEE,
vol. 97, no. 10, pp. 1717-1724, Oct. 2009.
[44] S. H. Jo, T. Chang, I. Ebong, B. B. Bhadviya, P. Mazumder, and W. Lu,
"Nanoscale memristor device as synapse in neuromorphic systems,"
Nano Lett., vol. 10, no. 4, pp. 1297-1301, 2010.
[45] H. Jiang, L. Han, P. Lin, et al. "Sub-10 nm ta channel responsible for
superior performance of a HFO2 memristor," Scientific Rep., vol. 6, 2016.
[46] L. Ni, H. Huang, Z. Liu, R. V. Joshi, and H. Yu, "Distributed in-memory computing on binary RRAM crossbar," ACM J. Emerging Technol.
Comput.Syst., vol. 13, no. 3, pp. 36, 2017.
[47] A. Heittmann and T. G. Noll, "Limits of writing multivalued resistances in passive nanoelectronic crossbars used in neuromorphic circuits," in Proc. Great Lakes Symp. Very Large Scale Integration, 2012, pp.
227-232.
[48] C. Yakopcic, R. Hasan, and T. M. Taha, "Hybrid crossbar architecture for a memristor based cache," Microelectron. J., vol. 46, no. 11, pp.
1020-1032, 2015.
[49] W. J. Dally and B. Towles, "Route packets, not wires: On-chip interconnection networks," in Proc. IEEE Design Automation Conf., 2001,
pp. 684-689.
[50] S. H. Jo, K.-H. Kim, and W. Lu, "High-density crossbar arrays based
on a SI memristive system," Nano Lett., vol. 9, no. 2, pp. 870-874, 2009.
[51] F. Alibart, L. Gao, B. D. Hoskins, and D. B. Strukov, "High precision
tuning of state for memristive devices by adaptable variation-tolerant
algorithm," Nanotechnology, vol. 23, no. 7, 2012.
[52] D. P. Bertsekas, Nonlinear Programming. Athena Scientific: Belmont, MA, 1999.
[53] N. Parikh and S. Boyd, "Proximal algorithms," Found. Trends Optim.,
vol. 1, no. 3, pp. 123-231, 2013.
[54] B. He and X. Yuan, "On the O(1/n) convergence rate of the DouglasRachford alternating direction method," SIAM J. Numer. Anal., vol. 50,
no. 2, pp. 700-709, 2012.

44

ieee circuits and systems magazine

[55] J. S. Aronofsky, "Growing applications of linear programming,"
Commun. ACM, vol. 7, no. 6, pp. 325-332, 1964.
[56] H. Dahrouj and W. Yu, "Coordinated beam forming for the multicell
multi-antenna wireless system," IEEE Trans. Wireless Commun., vol. 9,
no. 5, 2010.
[57] S. Liu, S. Kar, M. Fardad, and P. K. Varshney, "Sparsity-aware sensor
collaboration for linear coherent estimation," IEEE Trans. Signal Processing, vol. 63, no. 10, pp. 2582-2596, 2015.
[58] Y. J. A. Zhang and A. M.-C. So, "Optimal spectrum sharing in mimo
cognitive radio networks via semidefinite programming," IEEE J. Select.
Areas Commun., vol. 29, no. 2, pp. 362-373, 2011.
[59] A. Nemirovski. (2004). Interior point polynomial time methods in
convex programming, Lecture Notes. [Online]. Available:
[60] M. Hu, H. Li, Y. Chen, Q. Wu, and G. S. Rose, "BSB training scheme
implementation on memristor-based circuit," in Proc. IEEE Symp.
Computational Intelligence Security Defense Applications, Apr. 2013,
pp. 80-87.
[61] W. Wen, C. R. Wu, X. Hu, B. Liu, T. Y. Ho, X. Li, and Y. Chen, "An EDA
framework for large scale hybrid neuromorphic computing systems," in
Proc. 52nd ACM/EDAC/IEEE Design Automation Conf., June 2015, pp. 1-6.
[62] CVX Research, Inc. (2012, Aug.). CVX: Matlab software for disciplined convex programming, version 2.0. [Online]. Available: http://
cvxr.com/cvx
[63] S. Liu, "Resource management for distributed estimation via sparsity-promoting regularization," Ph.D. dissertation, Syracuse Univ., Syracuse, NY, 2016.
[64] K. Slavakis, G. B. Giannakis, and G. Mateos, "Modeling and optimization for big data analytics: (Statistical) Learning tools for our
era of data deluge," IEEE Signal Processing Mag., vol. 31, no. 5, pp. 18-
31, 2014.
[65] S. P. Chepuri and G. Leus, "Sparse sensing for statistical inference,"
Found. Trends Signal Processing, vol. 9, no. 3-4, pp. 233-368, 2016.
[66] E. J. Candes and M. B. Wakin, "An introduction to compressive sampling," IEEE Signal Processing Mag., vol. 25, no. 2, pp. 21-30, Mar. 2008.
[67] R. Tibshirani, "Regression shrinkage and selection via the lasso," J.
Roy. Statist. Soc. Ser. B, pp. 267-288, 1996.
[68] S. Liu, E. Masazade, M. Fardad, and P. K. Varshney, "Sparsity-aware
field estimation via ordinary Kriging," in Proc. IEEE Int. Conf. Acoustics,
Speech and Signal Processing, 2014, pp. 3948-3952.
[69] S. Qaisar, R. M. Bilal, W. Iqbal, M. Naureen, and S. Lee, "Compressive sensing: From theory to applications, a survey," J. Commun. Netw.,
vol. 15, no. 5, pp. 443-456, Oct. 2013.
[70] E. Candès, J. Romberg, and T. Tao, "Stable signal recovery from
incomplete and inaccurate measurements," Commun. Pure Appl. Math.,
vol. 59, no. 8, pp. 1207-1223, 2006.
[71] D. L. Donoho, "Compressed sensing," IEEE Trans. Inform. Theory,
vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
[72] E. J. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency
information," IEEE Trans. Inform. Theory, vol. 52, no. 2, pp. 489-509,
Feb. 2006.
[73] W. Dai and O. Milenkovic, "Subspace pursuit for compressive sensing signal reconstruction," IEEE Trans. Inform. Theory, vol. 55, no. 5, pp.
2230-2249, May 2009.
[74] W. Xu and B. Hassibi, "Efficient compressive sensing with deterministic guarantees using expander graphs," in Proc. IEEE Inform. Theory
Workshop, Sept. 2007, pp. 414-419.
[75] E. Candès, "Compressive sampling," in Proc. Int. Congr. Mathematicians, 2006.
[76] K. B. Petersen and M. S. Pedersen, The Matrix Cookbook, vol. 7.
Denmark: Tech. Univ. Denmark, pp. 15.
[77] J. A. Tropp and A. C. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Inform. Theory, vol. 53, no. 12, pp. 4655-4666, 2007.
[78] L. Vandenberghe and S. Boyd, "Semidefinite programming," SIAM
Rev., vol. 38, no. 1, pp. 49-95, 1996.
[79] D. P. Bertsekas and J. N. Tsitsiklis, Parallel and Distributed Computation: Numerical Methods, vol. 23. Englewood Cliffs, NJ: Prentice
Hall, 1989.
[80] M. Panju, "Iterative methods for computing eigenvalues and eigenvectors," Waterloo Math. Rev., 2011.
[81] A. Ben-Hur, D. Horn, H. T. Siegelmann, and V. Vapnik, "Support vector clustering," J. Mach. Learn. Res., vol. 2, pp. 125-137, 2001.

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