Robert J. Plemmons

Publication Activity (10 Years)

Years Active: 1974-2024
Publications (10 Years): 25

Top Topics

Point Spread Function

Supervised Classification

Top Venues

Publications

Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Kangning Cui, Zishan Shao, Gregory Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, David Segurado, João Pinheiro, Manqi Wang, David A. Lutz, Robert J. Plemmons, Miles Silman
PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning. ACM Southeast Regional Conference (2024)
Kangning Cui, Zishan Shao, Gregory Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, David Segurado, João Pinheiro, Manqi Wang, David A. Lutz, Robert J. Plemmons, Miles Silman
PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning. CoRR (2024)
Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. CoRR (2023)
Sam L. Polk, Kangning Cui, Aland H. Y. Chan, David A. Coomes, Robert J. Plemmons, James M. Murphy
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images. Remote. Sens. 15 (4) (2023)
Kangning Cui, Seda Camalan, Ruoning Li, Victor Paul Pauca, Sarra Alqahtani, Robert J. Plemmons, Miles Silman, Evan Nylen Dethier, David A. Lutz, Raymond H. Chan
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests. CoRR (2022)
Ruoning Li, Kangning Cui, Raymond H. Chan, Robert J. Plemmons
Classification of Hyperspectral Images Using SVM with Shape-Adaptive Reconstruction and Smoothed Total Variation. IGARSS (2022)
Ruoning Li, Kangning Cui, Raymond H. Chan, Robert J. Plemmons
Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation. CoRR (2022)
Kangning Cui, Seda Camalan, Ruoning Li, Victor Paúl Pauca, Sarra Alqahtani, Robert J. Plemmons, Miles Silman, Evan Nylen Dethier, David A. Lutz, Raymond H. Chan
Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests. WHISPERS (2022)
Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy
Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering. IGARSS (2022)
Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry. CoRR (2022)
Seda Camalan, Kangning Cui, Victor Paul Pauca, Sarra Alqahtani, Miles Silman, Raymond H. Chan, Robert J. Plemmons, Evan Nylen Dethier, Luis E. Fernandez, David A. Lutz
Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery. Remote. Sens. 14 (7) (2022)
Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. CoRR (2022)
Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering. CoRR (2022)
Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry. WHISPERS (2022)
Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. IGARSS (2022)
Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images. CoRR (2022)
Kangning Cui, Robert J. Plemmons
Unsupervised Classification of Aviris-NG Hyperspectral Images. WHISPERS (2021)
Raymond H. Chan, Kelvin K. Kan, Mila Nikolova, Robert J. Plemmons
A two-stage method for spectral-spatial classification of hyperspectral images. J. Math. Imaging Vis. 62 (6-7) (2020)
Chao Wang, Raymond H. Chan, Robert J. Plemmons, Sudhakar Prasad
Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact l0 Penalty (CEL0) Based Algorithm. CoRR (2020)
Chao Wang, Grey Ballard, Robert J. Plemmons, Sudhakar Prasad
Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function. CoRR (2019)
Chao Wang, Raymond H. Chan, Mila Nikolova, Robert J. Plemmons, Sudhakar Prasad
Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function. SIAM J. Imaging Sci. 12 (1) (2019)
Chao Wang, Robert J. Plemmons, Sudhakar Prasad, Raymond H. Chan, Mila Nikolova
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery. CoRR (2018)
Jennifer B. Erway, Robert J. Plemmons, Lasith Adhikari, Roummel F. Marcia
Trust-region methods for nonconvex sparse recovery optimization. ISITA (2016)
Saurabh Morchhale, V. Paul Pauca, Robert J. Plemmons, Todd C. Torgersen
Classification of pixel-level fused hyperspectral and lidar data using deep convolutional neural networks. WHISPERS (2016)
Sebastian Berisha, James G. Nagy, Robert J. Plemmons
Deblurring and Sparse Unmixing of Hyperspectral Images Using Multiple Point Spread Functions. SIAM J. Sci. Comput. 37 (5) (2015)
Sebastian Berisha, James G. Nagy, Robert J. Plemmons
Estimation of atmospheric PSF parameters for hyperspectral imaging. Numer. Linear Algebra Appl. 22 (5) (2015)
Qiang Zhang, Robert J. Plemmons
Image Reconstruction From Double Random Projection. IEEE Trans. Image Process. 23 (6) (2014)
Xi-Le Zhao, Fan Wang, Ting-Zhu Huang, Michael K. Ng, Robert J. Plemmons
Deblurring and Sparse Unmixing for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 51 (7-1) (2013)
Qiang Zhang, V. Paul Pauca, Robert J. Plemmons, D. Dejan Nikic
Detecting objects under shadows by fusion of hyperspectral and LiDAR DATA: A physical model approach. WHISPERS (2013)
Fang Li, Michael K. Ng, Robert J. Plemmons
Coupled segmentation and denoising/deblurring models for hyperspectral material identification. Numer. Linear Algebra Appl. 19 (1) (2012)
Jiani Zhang, Jennifer B. Erway, Xiaofei Hu, Qiang Zhang, Robert J. Plemmons
Randomized SVD Methods in Hyperspectral Imaging. J. Electr. Comput. Eng. 2012 (2012)
Arun Ross, Raghavender R. Jillela, Jonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Ryan Barnard, Xiaofei Hu, Victor Paúl Pauca, Robert J. Plemmons
Matching highly non-ideal ocular images: An information fusion approach. ICB (2012)
Yangbo Ye, Robert J. Plemmons, James G. Nagy, Qinian Jin
Modern Mathematics in Biomedical Imaging. Int. J. Biomed. Imaging 2011 (2011)
Nicolas Gillis, Robert J. Plemmons
Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis. WHISPERS (2011)
Xiaofei Hu, Victor Paúl Pauca, Robert J. Plemmons
Iterative Directional Ray-Based Iris Segmentation for Challenging Periocular Images. CCBR (2011)
Qiang Zhang, Robert J. Plemmons, David S. Kittle, David J. Brady, Sudhakar Prasad
Reconstructing and segmenting hyperspectral images from compressed measurements. WHISPERS (2011)
Fang Li, Michael K. Ng, Robert J. Plemmons, Sudhakar Prasad, Qiang Zhang
Hyperspectral image segmentation, deblurring, and spectral analysis for material identification. Visual Information Processing (2010)
Qiang Zhang, Richard T. Guy, Robert J. Plemmons
Matrix Structures and Parallel Algorithms for Image Superresolution Reconstruction. SIAM J. Matrix Anal. Appl. 31 (4) (2010)
Deepak Bharkhada, Hengyong Yu, Hong Liu, Robert J. Plemmons, Ge Wang
Line-Source Based X-Ray Tomography. Int. J. Biomed. Imaging 2009 (2009)
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari
Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) (2007)
Qiang Zhang, Han Wang, Robert J. Plemmons, V. Paul Pauca
Spectral unmixing using nonnegative tensor factorization. ACM Southeast Regional Conference (2007)
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. ICANNGA (2) (2007)
Michael W. Berry, Murray Browne, Amy Nicole Langville, V. Paul Pauca, Robert J. Plemmons
Algorithms and applications for approximate nonnegative matrix factorization. Comput. Stat. Data Anal. 52 (1) (2007)
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, Robert J. Plemmons
Document clustering using nonnegative matrix factorization. Inf. Process. Manag. 42 (2) (2006)
Zhiping Mu, Robert J. Plemmons, Peter Santago II
Iterative ultrasonic signal and image deconvolution for estimation of the complex medium response. Int. J. Imaging Syst. Technol. 15 (6) (2005)
V. Paul Pauca, Farial Shahnaz, Michael W. Berry, Robert J. Plemmons
Text Mining Using Non-Negative Matrix Factorizations. SDM (2004)
Sudhakar Prasad, Todd C. Torgersen, Victor Paúl Pauca, Robert J. Plemmons, Joseph van der Gracht
High-resolution imaging using integrated optical systems. Int. J. Imaging Syst. Technol. 14 (2) (2004)
Joseph van der Gracht, Victor Paúl Pauca, Harsha Setty, Ramkumar Narayanswamy, Robert J. Plemmons, Sudhakar Prasad, Todd C. Torgersen
Iris recognition with enhanced depth-of-field image acquistion. Visual Information Processing (2004)
Sudhakar Prasad, Todd C. Torgersen, Victor Paúl Pauca, Robert J. Plemmons, Joseph van der Gracht
Engineering the pupil phase to improve image quality. Visual Information Processing (2003)
Moody T. Chu, Robert J. Plemmons
Real-Valued, Low Rank, Circulant Approximation. SIAM J. Matrix Anal. Appl. 24 (3) (2003)
Zhiping Mu, Robert J. Plemmons, David M. Herrington, Peter Santago II
Estimation of complex ultrasonic medium responses by deconvolution. ISBI (2002)
Michael K. Ng, Robert J. Plemmons, Sanzheng Qiao
Regularization of RIF blind image deconvolution. IEEE Trans. Image Process. 9 (6) (2000)
Brent Ellerbroek, Robert J. Plemmons
Computations in astro-imaging. ICIP (3) (1996)
Michael K. Ng, Robert J. Plemmons
Fast Recursive Least Squares Adaptive Filtering by Fast Fourier Transform-Based Conjugate Gradient Iterations. SIAM J. Sci. Comput. 17 (4) (1996)
James G. Nagy, Robert J. Plemmons, Todd C. Torgersen
Iterative image restoration using approximate inverse preconditioning. IEEE Trans. Image Process. 5 (7) (1996)
Raymond H. Chan, Michael K. Ng, Robert J. Plemmons
Generalization of Strang's Preconditioner with Applications to Toeplitz Least Squares Problems. Numer. Linear Algebra Appl. 3 (1) (1996)
Raymond H. Chan, James G. Nagy, Robert J. Plemmons
Circulant Preconditioned Toeplitz Least Squares Iterations. SIAM J. Matrix Anal. Appl. 15 (1) (1994)
Robert J. Plemmons
FFT-based RLS in signal processing. ICASSP (3) (1993)
Daniel J. Pierce, Robert J. Plemmons
Tracking the condition number for RLS in signal processing. Math. Control. Signals Syst. 5 (1) (1992)
Daniel J. Pierce, Robert J. Plemmons
Fast Adaptive Condition Estimation. SIAM J. Matrix Anal. Appl. 13 (1) (1992)
William R. Ferng, Gene H. Golub, Robert J. Plemmons
Adaptive Lanczos methods for recursive condition estimation. Numer. Algorithms 1 (1) (1991)
Charles S. Henkel, Robert J. Plemmons
Recursive Least Squares on a Hypercube Multiprocessor Using the Covariance Factorization. SIAM J. Sci. Comput. 12 (1) (1991)
Sukil Kim, Dharma P. Agrawal, Robert J. Plemmons
Least-Squares Multiple Updating Algorithms on a Hypercube. J. Parallel Distributed Comput. 8 (1) (1990)
Kyle A. Gallivan, Robert J. Plemmons, Ahmed H. Sameh
Parallel Algorithms for Dense Linear Algebra Computations. SIAM Rev. 32 (1) (1990)
Charles S. Henkel, Michael T. Heath, Robert J. Plemmons
Cholesky downdating on a hypercube. C³P (1988)
S. Thomas Alexander, C. T. Pan, Robert J. Plemmons
Numerical properties of a hyperbolic rotation method for windowed RLS filtering. ICASSP (1987)
Robert J. Plemmons
Linear Least Squares by Elimination and MGS. J. ACM 21 (4) (1974)