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(Publications reporting on research supported by this MURI)
(Publications reporting on research supported by this MURI)
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== Publications reporting on research supported by this MURI==
 
== Publications reporting on research supported by this MURI==
 
[[publications]]: links to publications resulting from this program.
 
[[publications]]: links to publications resulting from this program.
 
  
 
'''''2014'''''
 
'''''2014'''''
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* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]
 
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]
  
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014.
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* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]
  
 
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014.
 
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014.
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* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]
 
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]
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* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).
 
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).
  
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review).
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* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]
  
 
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation,"  ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]
 
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation,"  ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]
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* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]
 
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]
  
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/abs/1201.6002 .pdf]
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* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]
  
 
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]
 
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]
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* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing'' (to appear). [http://arxiv.org/pdf/1303.4756.pdf .pdf]
 
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing'' (to appear). [http://arxiv.org/pdf/1303.4756.pdf .pdf]
  
* B. Moore, R. R.~Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]
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* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]
  
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014.
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* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]
  
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review).
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* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]
  
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014.
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* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]
  
 
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]
 
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]
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* N. Sugavanam and E. Ertin, "Compressive measurement designs for structured signals in signal dependent noise," ''IEEE International Conference on Acoustics, Speech, and Signal Processing'' (submitted).
 
* N. Sugavanam and E. Ertin, "Compressive measurement designs for structured signals in signal dependent noise," ''IEEE International Conference on Acoustics, Speech, and Signal Processing'' (submitted).
  
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," ''IEEE Transactions on Signal Processing''(in preparation).
+
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," ''IEEE Transactions on Signal Processing'' (in review).
  
 
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf]  
 
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf]  
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* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press).  [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]
 
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press).  [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]
  
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers,"  ''IEEE International Workshop on Machine Learning for Signal Processing,'' September 2014.[http://www.ece.osu.edu/~ertine/whipps2014b.pdf .pdf]
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* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers,"  ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]
  
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing''(in review). [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf]
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* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review).
  
 
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]
 
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]
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* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]
 
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]
  
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Neural Information Processing Systems'' (in review).  http://arxiv.org/abs/1406.3824
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* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Neural Information Processing Systems'' (in review).  [http://arxiv.org/pdf/1406.3824 .pdf]
 +
 
 +
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014.  [http://arxiv.org/pdf/1402.1918 .pdf]
  
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014.  http://arxiv.org/abs/1402.1918
 
  
  
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* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]
 
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]
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 +
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]
  
 
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).
 
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).
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* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.
 
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.
  
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/abs/1306.6042]
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* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf  .pdf]
  
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/abs/1302.1232]
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* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]
  
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/abs/1208.1275 .html]
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* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]
  
 
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).
 
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).
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* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]
 
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]
  
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013.
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* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]
  
 
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]
 
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]
  
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]
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* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]
  
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013.  [http://arxiv.org/pdf/1302.2686 .html]
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* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013.  [http://arxiv.org/pdf/1302.2686 .pdf]
  
 
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]
 
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]
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* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013.  [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]
 
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013.  [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]
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'''''2012'''''
 
'''''2012'''''

Revision as of 15:27, September 3, 2014

Publications 2012


Publications reporting on research supported by this MURI

publications: links to publications resulting from this program.

2014



2013


2012

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