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Recent Papers

Individual-specific, sparse inverse covariance estimation in generalized estimating equations
Q. Zhang, E. Ip, J. Pan, and R. Plemmons. To appear in Statistics and Probability Letters 122 (2017), 96-103. (pdf file)

Classification of Pixel-Level Fused Hyperspectral and LiDAR Data Using Deep Convolutional Neural Networks.
S. Morchhale, P. Pauca, R. Plemmons, and T. Torgersen. Proc. IEEE WHISPERS Conf., Los Angeles, Aug. 2016. (pdf file)

Multi-Dimensional Regular Expressions for Object Detection.
T. Torgersen, P. Pauca, R. Plemmons, D. Nikic, J. Wu and R. Rand. Preprint, 2016. (pdf file)

Trust-Region Methods for Nonconvex Sparse Recovery Optimization.
L. Adhikari J. Erway, R. Marcia and R. Plemmons. Proc. International Symposium on Information Theory and Its Applications (ISITA), IEEE Xplore, 2016. (pdf file)

Deblurring and Sparse Unmixing of Hyperspectral Images using Multiple Point Spread Functions
S. Berisha, J. Nagy and R. Plemmons. Published in SIAM J. Scientific Computing: 2015. (pdf file)

Estimation of Atmospheric PSF Parameters for Hyperspectral Imaging
S. Berisha, J. Nagy and R. Plemmons. Published in: Numerical Lin. Alg. and Applic., 2015. (pdf file)

Information-Theoretic Feature Selection for Classification: Applications to Fusion of Hyperspectral and LiDAR Data
Q. Zhang, P. Pauca, R. Plemmons, R. Rand and T. Torgersen. Working paper, 2014. (pdf file)

Image Reconstruction from Double Random Projection
Q. Zhang and R. Plemmons. Published in: IEEE Trans. Image Processing, 2014. (pdf file)

Detecting Objects under Shadows by Fusion of Hyperspectral and LiDAR Data: A Physical Model Approach
Q. Zhang, P. Pauca and R. Plemmons. Published in: Proc. IEEE WHISPERS Conference on Hyperspectral Imaging, 2013. (pdf file)

Randomized Methods in Lossless Compression of Hyperspectral Data
Q. Zhang, P. Pauca and R. Plemmons. Published in: SPIE Journal of Applied Remote Sensing, 2013: http://dx.doi.org/10.1117/1.JRS.7.074598 . (pdf file)

Deblurring and Sparse Unmixing For Hyperspectral Images
X. Zhao, F. Wang, T. Huang, M. Ng and R. Plemmons. Published in: IEEE Trans. on Geoscience and Remote Sensing, 2013. (pdf file)

Joint Multiframe Blind Deconvolution and Spectral Unmixing of Hyperspectral Images
Q. Zhang, P. Pauca and R. Plemmons. Published in: Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS Tech. 2013), Maui, HI. (pdf file)

Shape and Pose Recovery of Solar-Illuminated Surfaces from Compressive Spectral-Polarimetric Image Data
S. Prasad, Q. Zhang and R. Plemmons. Published in: Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS Tech. 2013), Maui, HI. (pdf file)

Randomized SVD Methods in Hyperspectral Imaging
J. Zhang, J. Erway, X. Hu, Q. Zhang and R. Plemmons. Published in: J. Electrical and Computer Engineering, Special Issue on Spectral Imaging, Volume 2012, Article ID 409357, 15 pages, September, 2012. (pdf file)

A Novel Approach To Environment Reconstruction In LIDAR and HSI Datasets
D. Nikic, P. Pauca, R. Plemmons J. Wu, P. Zhang. Published in: Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS Tech. 2012), Maui, HI. (pdf file)

Sparse Nonnegative Matrix Underapproximation and Its Application to Hyperspectral Image Analysis
N. Gillis and R. Plemmons. Published in: Linear Algebra and its Applications, 2012 . (pdf file)

Priors in Sparse Recursive Decompositions of Hyperspectral Images
N. Gillis, R. Plemmons and Q. Zhang. Proc. SPIE Conf. on Defense, Security and Sensing, April, 2012. (pdf file)

Iterative Directional Ray-based Iris Segmentation for Challenging Periocular Images
X. Hu, P. Pauca and R. Plemmons. Published in: Biometric Recognition, December 2011, LNCS7098, Springer. (pdf file)

An Evaluation of Iris Segmentation Algorithms in Challenging Periocular Images,
R. Jillela, A. Ross, N. Boddeti, B. Vijaya Kumar, X. Hu, R. Plemmons, P. Pauca. Chapter in Handbook of Iris Recognition, Eds. Burge, M., Bowyer, K., Springer, Preprint, August, 2011, to appear January (2012). (pdf file)

Joint Segmentation and Reconstruction of Hyperspectral Data with Compressed Measurements
Q. Zhang, R. Plemmons, D. Kittle, D. Brady and S. Prasad. Published in: Applied Optics, July 2011. (pdf file)

Reconstructing and Segmenting Hyperspectral Images from Compressed Measurements
Q. Zhang, R. Plemmons, D. Kittle, D. Brady and S. Prasad. Published in: Proc. SPIE Conf. on Defense, Security and Sensing, 2011. (pdf file)

Dimensionality Reduction, Classification, and Spectral Mixture Analysis using Nonnegative Underapproximation
N. Gillis and R. Plemmons. Published in: Optical Engineering, Feb., 2011. (pdf file)

Matching Highly Non-ideal Ocular Images: An Information Fusion Approach,
Arun Ross, Raghavender Jillela (West Virginia University) Jonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar (Carnegie Mellon University) Ryan Barnard, Xiaofei Hu, Paul Pauca, Robert Plemmons (Wake Forest University). Preprint, December, 2011. (pdf file)

Coupled Segmentation and Denoising/Deblurring Models for Hyperspectral Material Identification
F. Li, M. Ng, and R. Plemmons. Published in: Num. Lin. Alg. Applic., 2011. (pdf file)

A Hybrid Multilevel-Active Set Method for Large Box-Constrained Discrete Ill-Posed Inverse Problems.
S. Morigi, R. Plemmons, L. Reichel, and F. Sgallari. Published in: Colcolo - Numerical and Computational Mathematics, 2011. (pdf file)

Matrix Structures and Parallel Algorithms for Image Superresolution Reconstruction.
Q. Zhang, R. Guy, and R. Plemmons. Published in: SIAM J. Matrix Analysis and Applic., 2010. (pdf file)

Hyperspectral Image Segmentation, Deblurring, and Spectral Analysis.
F. Li, M. Ng, R. Plemmons, S. Prasad, P. Zhang. Published in: Proc. SPIE Conf. on Defense, Security, and Sensing, Or lando, 2010. (pdf file)

A Practical Enhanced-Resolution Integrated Optical-Digital Imaging Camera (PERIODIC).
M. Mirotznik, S. Mathews, R. Plemmons, P. Pauca, T. Torgersen, R. Barnard, B. Gray, T. Guy, Q. Zhang J. van der Gracht, C. Petersen, M. Bodnar, and S. Prasad. Proc. Annual SPIE Conf. on Defense, Security and Sensing, Orlando, April 2009. (pdf file)

Line-source Based X-ray Tomography.
D. Bharkhada, H. Yu, H. Liu, R. Plemmons and G. Wang. Appeared in International J. Biomedical Engineering, 2009. (pdf file)

Pupil Phase Encoding for Multi-Aperture Imaging.
P. Pauca, J. van der Gracht, R. Plemmons, S. Prasad, and T. Torgersen. Proc. Annual SPIE Meeting, San Diego, August 2008. (pdf file)

Tensor Methods for Hyperspectral Data Analysis: A Space Object Material Identification Study.
Q. Zhang, H. Wang, R. Plemmons and P. Pauca. Appeared in J. Optical Soc. Amer. A, Dec. 2008. (pdf file)

Nonnegativity Constraints in Numerical Analysis.
D. Chen and R. Plemmons. Paper presented at the Symposium on the Birth of Numerical Analysis, Leuven Belgium, October 2007. To appear in the Conference Proceedings, to be published by World Scientific Press, A. Bultheel and R. Cools, Eds. (2009) (pdf file)

PERIODIC: Integrated Computational Array Imaging Technology.
R. Plemmons, S. Prasad, S. Mathews, M. Mirotznik, R. Barnard, B. Gray, P. Pauca, T. Torgersen, J. van der Gracht, Greg Behrmann. Extended abstract for invited paper at the Conference on Computational Optical Sensing and Imaging (COSI), in Vancouver June 2007. (pdf file)

Novel Multi-layer Nonnegative Tensor Factorization with Sparsity Constraints.
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert Plemmons, and Shun-ichi Amari. Appeared in Proc. of the 8th International Conference on Adaptive and Natural Computing Algorithms, Warsaw, Poland, April 2007. (pdf file)

Nonnegative Tensor Factorization using Alpha and Beta Divergencies.
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert Plemmons, and Shun-ichi Amari. Appeared in Proc. of the 32nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, April 2007. (pdf file)

Blind Deconvolution and Structured Matrix Computations with Applications to Array Imaging.
Michael Ng and Robert Plemmons. Invited Chapter written for the book "Blind Deconvolution: Theory and Applications", P. Campisi and K. Egiazarian, Editors, CRC Press, pp. 377-418, 2007. (pdf file)

High-Resolution Iris Image Reconstruction from Low-Resolution Imagery
R. Barnard, P. Pauca, T. Torgersen, R. Plemmons, S. Prasad, J. van der Gracht, J. Nagy, J. Chung, G. Behrmann, S. Matthews, M. Mirotznik. Appeared in Proc. SPIE Annual Meeting, San Diego, 2006. (pdf file)

Algorithms and Applications for Approximate Nonnegative Matrix Factorization.
Michael Berry, Murray Browne, Amy Langville, Paul Pauca, and Robert Plemmons. Appeared in Computational Statistics & Data Analysis 52(1): 155-173 (2007). (pdf file)

A Computational Method for the Restoration of Images with an Unknown, Spatially-Varying Blur.
John Bardsley, Stuart Jefferies, James Nagy, and Robert Plemmons. Appeared in Optics Express, Vol. 14, No. 5, pp. 1767-1782, March 2006. (pdf file)

Nonnegative Matrix Factorization for Spectral Data Analysis.
Paul Pauca, Jon Piper, and Robert Plemmons. Appeared in Linear Algebra and Applications, Vol. 416, pp. 29-47, 2006. (pdf file)

Iterative Signal and Image Deconvolution for Estimation of the Complex Medium Response.
Zhiping Mu, Robert Plemmons, and Pete Santago. Appeared in the International Journal on Imaging Systems and Technology 2006. (pdf file)

Document Clustering using Nonnegative (Non-negative) Matrix Factorization.
Farial Shahnaz, Michael Berry, Paul Pauca, and Robert Plemmons. Appeared in the Journal on Information Processing & Management, Vol. 42, pp. 373-386, 2006. (pdf file)

Nonnegative (Non-negative) Matrix Factorization and Applications.
Moody Chu and Robert Plemmons. Appeared in IMAGE, Bulletin of the International Linear Algebra Society, Vol. 34, pp. 2-7, July 2005. (pdf file)

Computational Imaging Systems for Iris Recognition
Robert Plemmons, Michael Horvath, Emily Leonhardt, Paul Pauca, Sudhakar Prasad, Stephen Robinson, Harsha Setty, Todd Torgersen, Joseph van der Gracht, Edward Dowski, Ramkumar Narayanswamy, and Paulo E. X. Silveira. Appeared in Proc. SPIE Annual Meeting, Denver 2004. (pdf file)

High-Resolution Imaging Using Integrated Optical Systems.
Sudhakar Prasad, Todd Torgersen, Paul Pauca, Robert Plemmons, and Joe van der Gracht. Appeared in the International Journal on Imaging Systems and Technology, Vol. 14, pp. 67-75, 2004. (pdf file)

Iris Recognition with Enhanced Depth-of-Field Image Aquisition.
Joseph van der Gracht, Paul Pauca, Harsha Setty, Ramkumar Narayanswamy, Robert Plemmons, Sudhakar Prasad, and Todd Torgersen . Proc. SPIE Conference on Defense and Homeland Security, Orlando, April 2004. (pdf file)

Unmixing Spectral Data for Space Objects using Independent Component Analysis and Nonnegative ((Non-negative) Matrix Factorization.
Paul Pauca, Robert Plemmons, Maile Giffin, Kris Hamada . Appeared in the Proc. Amos Technical Conf., Maui, 2004. (pdf file)

Text Mining using Nonnegative (Non-negative) Matrix Factorizations.
Paul Pauca, Farial Shahnaz, Michael Berry and Robert Plemmons. Refereed paper. Appeared in the Proc. SIAM Inter. Conf. on Data Mining, Orlando, April 2004 . (pdf file)

An Integrated Optical-Digital Approach for Improved Image Restoration.
Paul Pauca, Robert Plemmons, Sudhakar Prasad, Todd Torgersen, Joe van der Gracht and Curt Vogel. Appeared in the Proceedings AMOS Technical Conference, Maui, HI, September 2003. (pdf file)

On Reduced Rank Nonnegative (Non-negative) Matrix Factorizations for Symmetric Matrices.
M. Catral, Lixing Han, Michael Neumann and Robert Plemmons. Appeared in Lin. Alg. and Applications, Vol.393, pp. 107-127, 2004. (pdf file)

Semi-Conjugate Direction Methods for Nonsymmetric Systems.
J.Y. Yuan, G.H. Golub, R.J. Plemmons, and W.A.G. Cecilo. Appeared in BIT Numerical Mathematics, 2004.

Optimality, Computation, and Interpretations of Nonnegative Matrix Factorizations.
Moody Chu, Fasma Diele, Robert Plemmons, and Stefania Ragni. Unpublished Report, October 2004. (pdf file)

Integrated Optical-Digital Approaches for Enhancing Image Restoration and Focus Invariance.
Paul Pauca, Robert Plemmons, Sudhakar Prasad and Todd Torgersen . Proc. SPIE Annual Conf., July 2003. (pdf file)

Engineering the Pupil Phase for Image Quality.
Sudhakar Prasad, Todd Torgersen, Paul Pauca, Robert Plemmons, and Joe van der Gracht. Proc. AeroSense Conference on Technologies and Systems for Defense and Security, Orlando, April 2003. (pdf file)

Iterative Ultrasonic Signal and Image Deconvolution for Estimation of the Complex Medium Response.
Zhiping Mu, Robert Plemmons, and Pete Santago. International Journal on Imaging Systems and Technology 2006. (pdf file)

Regularized, In Toto, 3D Iterative Restoration of Tomosynthetic Images.
Timothy Persons, Paul Hemler, Robert Plemmons and Dan Bourland. Technical Rept., 2002.

Iterative Restoration of Wavefront Coded Imagery for Focus Invariance.
Joe van der Gracht, James Nagy, Paul Pauca and Robert Plemmons. Proc. ICIS Conference, Optical Soc. Amer. 2002.

Real-Valued, Low Rank Circulant Approximation.
Moody Chu and Robert Plemmons. SIAM J. on Matrix Analysis, 2002.

Regularization Methods for Image Restoration Based on Autocorrelation Functions.
Zhiping Mu and Robert Plemmons. In Proc. Annual SPIE Meeting, San Diego, 2000.

Exploiting Toeplitz Structure in Atmospheric Image Reconstruction.
William Cochran, Robert Plemmons and Todd Torgersen. In Numerical Analysis and Theory of Computation, 2000.

Some Computational Problems Arising in Adaptive Optics Imaging Systems.
Robert Plemmons and Paul Pauca. In Computatienal and Applied Mathematics - Special Series: Numerical Analysis in the 20th Century, 2000.

Algorithms and Software for Atmospheric Image Reconstruction.
William Cochran, Robert Plemmons and Todd Torgersen. Proceedings of the AMOS Technical Conference, Maui, HI, 1999.

Structured Low Rank Approximation
Moody Chu, Robert Funderlic, and Robert Plemmons. Linear Algebra and Its Applications, 2003.

A New Approach to Constrained Total Least Squares Image Restoration.
Michael K. Ng, Robert Plemmons and Felipe Pimentel. Appeared in Lin. Alg. Applic., 2000.

Efficient Two-Parameter Hankel Transforms in Adaptive Optics System Evaluations.
Paul Pauca, Brent Ellerbroek, Robert Plemmons, and Xiaobai Sun. Appeared in Lin. Alg. Applic., 2000

Regularized Iterative Blind Deconvolution using Recursive Inverse Filtering.
Michael Ng, Robert Plemmons and Sanzheng Qiao. In the IEEE Trans. on Image Proc., 2000.

A Mathematical Framework for the Linear Reconstructor Problem in Adaptive Optics.
Moody Chu, Paul Pauca, Robert Plemmons, and Xiaobai Sun. Appeared in Lin. Alg. Applic., 2000.

Fast Algorithms for Phase Diversity-Based Blind Deconvolution.
Curtis R. Vogel, Tony Chan, and Robert J. Plemmons. Appeared in SPIE Proc. Conference on Astronomical Imaging, Kona, HI., 1998.

Preconditioned Iterative Regularization for Ill-Posed Problems. Martin Hanke , James G. Nagy, and Robert J. Plemmons. An older paper that was published in 1993