MURIPublications
From Atemuri
Front-End Signal Processing
Learning Visual Flows: A Lie Algebraic Approach, Dahua Lin, Eric Grimson, and John Fisher, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami, FL, 2008. paper
Estimation of mean and median pO2 values for a composite EPR spectrum, R. Ahmad, D. S. Vikram, L. C. Potter and P. Kuppusamy, Journal of Magnetic Resonance, vol. 192, pp. 269-274, June 2008. doi
Interferometric Synthetic Aperture Radar Detection and Estimation Based 3D Image Reconstruction, C. Austin and R. L. Moses, Algorithms for Synthetic Aperture Radar Imagery XIII, SPIE Defense and Security Symposium, Orlando, FL, 17 April - 21 April 2006. paper
Sparsity-Regularized Born Iterations for Electromagnetic Inverse Scattering, H. Bagci, R. Raich, A. E. Hero, and E. Michielssen, Proc. of IEEE Antennas and Propagation Symposium, 2008. [1]
Non-quadratic regularization-based image deblurring: Automatic parameter selection and feature-based evaluation, Ö. Batu and M. Çetin, IEEE Conference on Signal Processing and Communications Applications, Eskişehir, Turkey, June 2007. paper
Sparsity-driven sparse-aperture ultrasound imaging, M. Çetin, E. Bossy, R. Cleveland, and W. C. Karl, IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, May 2006. paper
Synthetic aperture radar imaging from wide-angle data with frequency-band omissions, M. Çetin and R. Moses, IEEE Conference on Signal Processing and Communications Applications, Antalya, Turkey, April 2006. paper
Bayesian linear unmixing of hyperspectral images corrupted by colored Gaussian noise with unknown covariance matrix, Nicolas Dobigeon, Jean-Yves Tourneret, and Alfred O. Hero, IEEE ICASSP 2008. [2]
Three-dimensional Imaging of Vehicles with Wide-angle Synthetic Aperture Radar, Kerry E. Dungan and Lee C. Potter, submitted to IEEE Transactions on Aerospace and Electronic Systems August 2008.
Discrimination of Civilian Vehicles using Wide-angle SAR, K. E. Dungan, L. C. Potter, J. Blackaby, and J. Nehrbass, Algorithms for Synthetic Aperture Radar Imagery XIV (Proc. SPIE 6970) Proceedings of the SPIE, Orlando, FL, March 2008.
GOTCHA Experience Report: Three-Dimensional SAR Imaging with Complete Circular Apertures, E. Ertin, C. Austin, S. Sharma, R. L. Moses and L. C. Potter , Algorithms for Synthetic Aperture Radar Imagery XIV (Proc. SPIE 6568) , SPIE Defense and Security Symposium, Orlando, FL, April 2007. paper
Identifiability of 3D Attributed Scattering Features from Sparse Nonlinear Apertures, J. Jackson and R. Moses, Algorithms for Synthetic Aperture Radar Imagery XIV (Proc. SPIE 6568) , SPIE Defense and Security Symposium Orlando, FL, April 2007, (paper, slides )
An Efficient Representation for Computing Geodesics Between n-Dimensional Elastic Curves, S. Joshi, E. Klassen, A. Srivastava, and I. Jermyn, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, June 2007.paper
Intrinsic Bayesian Active Contours for Extraction of Object Contours in Images,S. Joshi and A. Srivastava,International Journal on Computer Vision (IJCV), accepted for publication, June 2008.paper
Classification of Cyclostationary Processes on Nonlinear Shape Manifolds for Gait-Based Human Recognition,D. Kaziska and A. Srivastava, Journal of American Statistical Association, December 2007. paper
Three-dimensional resolution for circular synthetic aperture radar, L. J. Moore and L. C. Potter, Proceedings of SPIE 6568 (E. G. Zelnio and F. D. Garber, eds.), April 2007.
Three-dimensional resolution in circular synthetic aperture radar, L. J. Moore and L. C. Potter, IEEE Transactions on Image Processing, in review; submitted August 2007.
Recursive SAR Imaging, R. L. Moses and J. N. Ash, Algorithms for Synthetic Aperture Radar Imagery XV (Proc. SPIE 6970) Proceedings of the SPIE Defense and Security Symposium, Orlando, FL, March 2008. paper
Sparse Reconstruction for RADAR, L. C. Potter, P. Schniter and J. Ziniel, Algorithms for Synthetic Aperture Radar Imagery XIV (Proc. SPIE 6970) Proceedings of the SPIE, Orlando, FL, March 2008. paper
Joint Enhancement of Multichannel SAR Data, N. Ramakrishnan, E. Ertin and R. Moses, Algorithms for Synthetic Aperture Radar Imagery XIV (Proc. SPIE 6568) , SPIE Defense and Security Symposium Orlando, FL, April 2007, (paper: Media:Moses_SPIE2007.pdf poster: Media:SPIE07_Naveen_poster.pdf)
An Intrinsic Framework for Analysis of Facial Surfaces,C. Samir, A. Srivastava, M. Daoudi, and E. Klassen, accepted for publication International Journal of Computer Vision, October 2008. paper
Fast Bayes Matched Pursuits, P. Schniter, L. C. Potter and J. Ziniel, Proc. Workshop on Information Theory and Applications (ITA), La Jolla, CA, Jan 2008. paper
Fast Bayesian Matching Pursuit: Model Uncertainty and Parameter Estimation for Sparse Linear Models, Philip Schniter, Lee C. Potter and Justin Ziniel, submitted to IEEE Transactions on Signal Processing August 2008 [pdf]
Reduced Acquisition EPR Oximetry, S. Som, L. C. Potter, R. Ahmad and P. Kuppusamy, A Joint Conference of 12th In Vivo EPR Spectroscopy and Imaging 9th International EPR Spin Trapping/Spin Labeling, Chicago, IL, April-May 2007.
A Parametric Approach to Spectral-spatial EPR Imaging, S. Som, L. C. Potter, R. Ahmad and P. Kuppusamy, Journal of Magnetic Resonance, vol. 186, issue 1, pp. 1-10, May 2007.
EPR Oximetry in Three Dimensions using Sparse Spin Distribution, Subhojit Som, Lee C. Potter, Rizwan Ahmad, Deepti S. Vikram, and Periannan Kuppusamy, Journal of Magnetic Resonance, vol. 193, issue 2, pp. 210—217, August 2008. doi
Looking for Shapes in Two-Dimensional Cluttered Point Clouds, A. Srivastava and I. H. Jermyn,IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2008.paper
Riemannian Analysis of Probability Density Functions with Applications in Vision, A. Srivastava, I. Jermyn, and S. Joshi, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, June 2007. paper
Modeling Spatial Patterns of Shapes, A. Srivastava, Wei Liu and S. H. Joshi,IEEE Conference on Image Processing, San Diego, CA, October 2008.paper
Elastic Shape Models for Face Analysis Using Curvilinear Coordinates,A. Srivastava, C. Samir, S. H. Joshi, and M. Daoudi, accepted for publication Journal of Mathematical Imaging and Vision, January 2008. paper
Joint Image Formation and Anisotropy Characterization in Wide-Angle SAR, K. R. Varshney, M. Çetin, J. W. Fisher III, and A. S. Willsky, Algorithms for Synthetic Aperture Radar Imagery XIII (Proc. SPIE 6237), SPIE Defense and Security Symposium, Orlando (Kissimmee), FL, April 2006. paper poster
Wide-Angle SAR Image Formation with Migratory Scattering Centers and Regularization in Hough Space, K. R. Varshney, M. Çetin, J. W. Fisher III, and A. S. Willsky, Proceedings of the Fourteenth Annual Workshop on Adaptive Sensor Array Processing, Lexington, MA, June 2006. paper
A Sparse Signal Representation-Based Approach to Image Formation and Anisotropy Determination in Wide-Angle Radar, K. R. Varshney, M. Çetin, J. W. Fisher III, and A. S. Willsky, IEEE Conference on Signal Processing and Communications Applications, Eskişehir, Turkey, June 2007. paper
Sparse Representation in Structured Dictionaries with Application to Synthetic Aperture Radar, K. R. Varshney, M. Çetin, J. W. Fisher III, and A. S. Willsky, IEEE Transactions on Signal Processing, vol. 56, issue 8, pp. 3548-3561, August 2008. paper
Postarthroplasty Examination Using X-Ray Images, K. R. Varshney, N. Paragios, J.-F. Deux, A. Kulski, R. Raymond, P. Hernigou, and A. Rahmouni, IEEE Transactions on Medical Imaging, vol. 28, issue 3, pp. 469-474, March 2009. paper
Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays, K. R. Varshney, N. Paragios, A. Kulski, R. Raymond, P. Hernigou, and A. Rahmouni, Proceedings of the Fourth IEEE International Symposium on Biomedical Imaging, Arlington, VA, April 2007. paper poster
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery, N. Dobigeon, J.-Y. Tourneret, S. Massaoui, M. Coulon and A.O. Hero, IEEE Trans. on Signal Pocessing, to appear, 2009.
Sparse LMS for system identification, Y. Chen, Y. Gu, A. O. Hero, IEEE Intl Conf. on Acoust., Speech, and Signal Processing, Taiwan, Mar 2009. [[3]]
A Study of Algorithms for Detecting Pulsed Sinusoidal Interference in Microwave Radiometry, J. T. Johnson and L. C. Potter, IEEE Trans. Geosci. Remote Sens., vol 47, pp. 628-636, 2009.[[4]]
Sparsity and Compressed Sensing in Radar Imaging, L. C. Potter, E. Ertin, J. T. Parker, and M. Cetin, Proceedings of the IEEE, submitted 2009 (Invited Paper).
Interferometric Methods for 3-D Target Reconstruction with Multi-Pass Circular Synthetic Aperture Radar, E. Ertin, L. C. Potter and R. L. Moses, IET Radar, Sonar & Navigation, to appear 2009.
Classifying civilian vehicles using a wide-field circular SAR,, K. E. Dungan, and L. C. Potter, Algorithms for Synthetic Aperture Radar Imagery XIV. Edited by Zelnio, Edmund G.; Garber, Frederick D.. Proceedings of the SPIE, vol. 7337, page 733727, April 2009.
A fast posterior update for sparse underdetermined linear models, L. C. Potter, P. Schniter, and J. Ziniel, Asilomar Conference on Signals, Systems, and Computers, October 2008.
Analysis of Orientation and Scale in Smoothly Varying Textures, J. Chang and J.W. Fisher III, Proceedings of the IEEE International Conference on Computer Vision (ICCV), September 2009. paper
Information Fusion and Graphical Modeling
Estimation in Gaussian Graphical Models using Tractable Subgraphs: A Walk-Sum Analysis, V. Chandrasekaran, J.K. Johnson, and A.S. Willsky, submitted for publication, January 2007 (revised May 2007). paper
Multiscale Gaussian Graphical Models and Algorithms for Large-Scale Inference, M. J. Choi and A. S. Willsky, SSP 2007, August 2007. paper
Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking, E.B. Fox, D.S. Choi, and A.S. Willsky, Proceedings of the 40th Asilomar Conference On Signals, Systems, and Computers, Pacific Grove, CA November 2006. paper
Tracking a Non-cooperative Maneuvering Target using Hierarchical Dirichlet Processes, E.B. Fox, E.B. Sudderth, D.S. Choi, and A.S. Willsky, Fifteenth Annual Workshop on Adaptive Sensor Array Processing, Lexington, MA June 2007. slides
Hierarchical Dirichlet Processes for Tracking Maneuvering Targets, E.B. Fox, E.B. Sudderth, and A.S. Willsky, Proceedings of the International Conference on Information Fusion, Quebec, Canada July 2007. paper
Learning Markov Structure by Maximum Entropy Relaxation, J.K. Johnson, V. Chandrasekaran, and A.S. Willsky, Eleventh International Conference on Artificial Intelligence and Statistics, San Juan, Puerto Rico March 2007. paper
A recursive model-reduction method for estimation in Gaussian Markov random fields, J.K. Johnson and A.S. Willsky, submitted for publication, January 2007. paper
Walk-Sums and Belief Propagation in Gaussian Graphical Models, D.M. Malioutov, J.K. Johnson, and A.S. Willsky, Journal of Machine Learning Research, Volume 7, 2031-2064, October 2006.
GMRF Variance Approximation using Spliced Wavelet Bases, D.M. Malioutov, J.K. Johnson, and A.S. Willsky, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, April 2007.
Learning Graphical Models for Hypothesis Testing, S. Sanghavi, V. Tan and A. S. Willsky, SSP 2007, August 2007. paper
Maximum Entropy Relaxation for Graphical Model Selection given Inconsistent Statistics, V. Chandrasekaran, J.K. Johnson, and A. S. Willsky, SSP 2007, August 2007. paper
Inferring Dynamic Dependency with Applications to Link Analysis, M. R. Siracusa and J. W. Fisher III, Proceeding of the 40th Asilomar Conference On Signals, Systems, and Computers, Pacific Grove, CA November 2006. paper
Dynamic Dependency Tests: Analysis and Applications to Multi-modal Data Association, M. R. Siracusa and J. W. Fisher III,Eleventh International Conference on Artificial Intelligence and Statistics, San Juan, Puerto Rico March 2007. paper
Minimum Mean Bayes Risk Error Quantization of Prior Probabilities, K. R. Varshney and L. R. Varshney, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, NV, April 2008. paper poster
Quantization of Prior Probabilities for Hypothesis Testing, K. R. Varshney and L. R. Varshney, IEEE Transactions on Signal Processing, vol. 56, issue 10, pp. 4553-4562, October 2008. paper
Supervised Learning of Classifiers via Level Set Segmentation, K. R. Varshney and A. S. Willsky, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, Cancún, Mexico, October 2008. paper
Learning Dimensionality-Reduced Classifiers for Information Fusion, K. R. Varshney and A. S. Willsky, Proceedings of the Twelfth International Conference on Information Fusion, Seattle, WA, July 2009. paper
Decomposable Principal Components Analysis, A. Wiesel and A.O. Hero, IEEE Trans. on Signal Processing. Submitted Aug 2008. Available on Arxiv[5]
An HDP-HMM for Systems with State Persistence, E.B. Fox, E.B. Sudderth, M.I. Jordan, and A.S. Willsky, Proceedings of the International Conference on Machine Learning, Helsinki, Finland July 2008. paper
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems, E.B. Fox, E.B. Sudderth, M.I. Jordan, and A.S. Willsky, Neural Information Processing Systems, Vancouver, Canada December 2008. paper
Nonparametric Bayesian Identification of Jump Systems with Sparse Dependencies, E.B. Fox, E.B. Sudderth, M.I. Jordan, and A.S. Willsky, to appear in Proceedings of the 15th IFAC Symposium on System Identification, Saint-Malo, Rance July 2009. paper
Learning Max-Weight Discriminative Forests, V.Y.F. Tan, J.W. Fisher III and A.S. Willsky, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, NV, Apr 2008. paper
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm, V.Y.F. Tan and V.K. Goyal, IEEE Transactions on Signal Processing, vol 56, no. 10, Part 2, Pages 5135-5146, Oct 2008. paper
A Large-Deviation Analysis for the Maximum-Likelihood Learning of Tree Structures, V.Y.F. Tan, A. Anandkumar, L. Tong, and A.S. Willsky, Proceedings of the IEEE International Symposium on Information Theory (ISIT), June 2009. paper
A Large-Deviation Analysis for the Maximum-Likelihood Learning of Markov Tree Structures, V.Y.F. Tan, A. Anandkumar, L. Tong, and A.S. Willsky, submitted to IEEE Transactions on Information Theory, Submitted 2009. Available on Arxiv[6]. paper
Decomposable PCA, A. Wiesel and A. O. Hero, IEEE Intl Conf. on Acoust., Speech, and Signal Processing, Taiwan, Mar 2009. paper
Sparse and Low-Rank Matrix Decompositions, V. Chandrasekaran, S. Sanghavi, P.A. Parrilo, and A.S. Willsky, 15th IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, July 2009. paper
Exploiting Sparse Markov and Covariance Structure in Multiresolution Models, M.J. Choi, V. Chandrasekaran, and A.S. Willsky, International Conference on Machine Learning (ICML 2009), Montreal, Canada, June 2009. paper
Sensor Management
Optimal Sequential Energy Allocation for Inverse Problems, R. Rangarajan, R. Raich, A. O. Hero III, IEEE Journal on Selected Topics in Signal Processing, Vol. 1, No. 1, pp 67-78, June, 2007. (paper)
Blind tracking using sparsity penalized multidimensional scaling, R. Rangarajan, R. Raich, A. O. Hero III, submitted to IEEE Workshop on Statistical Signal Processing, Wisconsin, USA, August 2007.
Multi-resolution uniform sampling for 3D tomography, R. Ahmad and L. C. Potter and P. Kuppusamy, IEEE Transactions on Medical Imaging, in review; submitted September 2007.
Uniform Distribution of Projection Data for Improved Reconstruction Quality of 4D EPR Imaging, R. Ahmad, D. S. Vikram, B. Clymer, L. C. Potter, Y. Deng, P. Srinivasan, J. L. Zweier and P. Kuppusamy, Journal of Magnetic Resonance, vol. 187, issue 2, pp. 277—287, August 2007. doi
Uniform Data Distribution for 4D EPR Imaging, R. Ahmad, D. S. Vikram, B. Clymer, L. C. Potter, Y. Deng, P. Srinivasan, J. L. Zweier and P. Kuppusamy, A Joint Conference of 12th In Vivo EPR Spectroscopy and Imaging 9th International EPR Spin Trapping/Spin Labeling, Chicago, IL, April-May 2007.
Optimal two-stage search for sparse targets using convex criteria, E. Bashan, R. Raich., and A. O. Hero, IEEE Trans. on Signal Processing, vol. 56, no. 11, pp. 5389-5402, Nov. 2008. [7]
Monte-Carlo-Based Partially Observable Markov Decision Process Approximations for Adaptive Sensing, E. K.P. Chong, C. M. Kreucher and A. O. Hero, Workshop on Discrete Event Systems (WODES-08), 2008. [8]
Partially Observable Markov Decision Process Approximations for Adaptive Sensing, E. Chong, C. Kreucher and A. O. Hero, Discrete Event Systems, to appear 2009.
