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Recent Papers

A Hybrid Multilevel-Active Set Method for Large Box-Constrained Discrete Ill-Posed Inverse Problems.
S. MORIGI, R. PLEMMONS, L. REICHEL, AND F. SGALLARI. Preprint, Submitted, November 2009. (pdf file)

Assessment of Hemodynamic Changes of Pig Skin in the Post-Burn Period using a Multi-Spectral Multi-Aperture Camera.
Q. Zhang, S. Saldana, X. Leng, T. Torgersen, B. Mikolasko, R. Plemmons and J. Molnar. Preprint, Submitted, June 2009. (pdf file)

Matrix Structures and Parallel Algorithms for Image Superresolution Reconstruction.
Q. Zhang, R. Guy, and R. Plemmons. Preprint, Submitted, May 2009. (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. International J. Biomedical Engineering, appeared April 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