# Publications

From Voimuri Wiki

Publications

**Publications 2012**

## Publications reporting on research supported by this MURI

**publications**: links to publications resulting from this program.

**2014**

- V. Karasev, A. Ravichandran, S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," in Proc. of the IEEE Conf. on Comp. Vis. and Patt. Recog., 2014

- J. Ash, E. Ertin, L. C. Potter, E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging." IEEE Signal Processing Magazine, 2014 (accepted).

- G. Marjanovic and A.O. Hero, "On lq Estimation of Sparse Inverse Covariance," Proc. of IEEE Conf. on Acoustics, Speech and Signal Processing (ICASSP) 2014.

- T. Tsiligkaridis, B. M. Sadler and A.O. Hero, "Collaborative 20 questions for localization," IEEE Trans on Information Theory. In press. Available as arXiv:1306.1922 .pdf

- T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," Proc. of IEEE Conf. on Acoustics, Speech and Signal Processing (ICASSP) 2014.

- D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals,"
*IEEE Journal of Selected Topics in Signal Processing*(in press). .pdf

**2013**

- K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing,"
*Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,*June 2013. .pdf

- K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar,"
*Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX*, May 2013. .pdf

- V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation,"
*Proceedings of the National Academy of Sciences*, 2013. .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,*December 2013..pdf

- J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning,"
*Proceedings of NIPS,*2013. .pdf

- J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates",
*54th Annual Symposium on Foundations of Computer Science (FOCS)*, 2013. .pdf

- J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms,"
*Annals of Statistics*(in press). .pdf

- E. Ertin, "Manifold learning methods for wide-angle SAR ATR,"
*Proceedings of the 2013 International Conference on Radar*, Sep 2013..pdf

- B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices," [1]

- J. Gao and E. Ertin, "Contactless sensing of physiological signals using wideband RF probes,"
*Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,*November 2013 .pdf

- M. I. Jordan, "On statistics, computation, and scalability,"
*Bernoulli*, 19, 1378-1390, (2013). .pdf

- A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic,"
*Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),*Chicago 2013. .pdf

- A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data,"
*Journal of the Royal Society, Series B*(in press). .pdf

- Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods,"
*Proceedings of AISTATS,*2013. (Received Notable Paper Award) .pdf

- Z. Meng, D. Wei, A, Wiesel A.O. Hero, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP 2013. (Received Best Student Paper Award) .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 information fusion using adaptive decentralized censoring algorithms,"
*Proceedings of the American Control Conference (ACC),*Washington DC, July 2013.

- B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment,"
*Proceedings of the AIAA Guidance, Navigation, and Control Conference,*Boston, August 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 [2]

- R. Nadakuditi, "When are the most informative components for inference also the principal components," [3]

- R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), .html

- G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).

- G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).

- M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing,"
*Proceedings of SPIE,*vol. 8746, Baltimore, May 2013...pdf

- P. Shearer, A. Gilbert and A.O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) .pdf

- N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments,"
*Proceedings of the IEEE Global Conference on Signal and Information Processing,*December 2013..pdf

- T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," Proceedings of GlobalSIP 2013.

- T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions,"
*IEEE Transactions on Signal Processing*(in press). Available on arXiv 1302.2686 .html

- 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. .pdf

- T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms,"
*IEEE Transactions on Signal Processing*vol. 61, no. 9, pp. 1743--1755, 2013. Available as arXiv:1204.0585 .html

- T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction,"
*Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,*June 2013. .pdf

- T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," available as arxiv:1312.7848 .pdf

- F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons",
*International Conference on Machine Learning (ICML)*, 2013. .pdf

- D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," Proceedings of IEEE GlobalSIP 2013. .pdf

- D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation,"
*Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*May 2013. .pdf

- G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network,"
*Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,*June 2013. .pdf

- Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques,"
*Proc. IEEE International Conference on Computer Vision and Pattern Recognition,*June 2013. .pdf

**2012**

- D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in
*Proceedings of IEEE-AESS RadarCon*, pp. 774-777, May 2012. .pdf

- D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,”
*Proceedings of the IEEE Statistical Signal Processing Workshop*, August 2012. .pdf

- J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. .pdf

- E. Ertin, "Sensor selection in adversarial setting,"
*Proceedings of the IEEE Statistical Signal Processing Workshop*, August 2012. .pdf

- G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in
*Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.*, 2012. .pdf

- V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration,"
*Proceedings of NIPS,*December 2012..pdf

- A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap,"
*Proceedings of the 29th International Conference on Machine Learning*, Edinburgh, UK, 2012. .pdf

- L. Mackey, M. I. Jordan, R. Y. Chen, B. Farrell and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," arXiv:1201.6002, 2012. .html.

- Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models,"
*IEEE ICASSP 2012*. Author preprint .pdf

- T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. .pdf

- B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper),
*Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing*, April 2012. .pdf

- W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry,"
*Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,*, October 2012. .pdf

- B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. .html.

- S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [4]

- G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering,"
*Proceedings of the IEEE Statistical Signal Processing Workshop*, August 2012. .pdf

- A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. .pdf

- A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. .pdf

- C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection,"
*Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,*November 2012.

- T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure,"
*Proc. IEEE ICASSP,*March 2012. .pdf

- T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms,"
*Proceedings of the IEEE Statistical Signal Processing Workshop,*Ann Arbor MI, August 2012..pdf

- L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. .pdf

- F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012..pdf

- D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in
*Proceedings of the IEEE Statistical Signal Processing Workshop*, Ann Arbor MI, August 2012. .pdf

- G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in
*Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III*, volume 8389, Baltimore, MD, May 2012. .pdf

- Z. Yi and S. Soatto, "Information Forests,"
*Proc. ITA, Information Theory and Applications*, Feb. 2012. Technical Report UCLA CSD 120002. .pdf

- Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning,"
*Journal of Machine Learning Research*, 13, 2031-2061, 2012. .pdf