Robert J. Plemmons

Orcid: 0000-0003-4021-6925

According to our database1, Robert J. Plemmons authored at least 64 papers between 1974 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering.
IEEE Trans. Geosci. Remote. Sens., 2024

PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning.
Proceedings of the 2024 ACM Southeast Conference, 2024

2023
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images.
Remote. Sens., February, 2023

2022
Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery.
Remote. Sens., 2022

Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images.
CoRR, 2022

Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Classification of Hyperspectral Images Using SVM with Shape-Adaptive Reconstruction and Smoothed Total Variation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Unsupervised Classification of Aviris-NG Hyperspectral Images.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

2020
A two-stage method for spectral-spatial classification of hyperspectral images.
J. Math. Imaging Vis., 2020

Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact l0 Penalty (CEL0) Based Algorithm.
CoRR, 2020

2019
Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function.
SIAM J. Imaging Sci., 2019

Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function.
CoRR, 2019

2018
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery.
CoRR, 2018

2016
Classification of pixel-level fused hyperspectral and lidar data using deep convolutional neural networks.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Trust-region methods for nonconvex sparse recovery optimization.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

2015
Deblurring and Sparse Unmixing of Hyperspectral Images Using Multiple Point Spread Functions.
SIAM J. Sci. Comput., 2015

Estimation of atmospheric PSF parameters for hyperspectral imaging.
Numer. Linear Algebra Appl., 2015

2014
Image Reconstruction From Double Random Projection.
IEEE Trans. Image Process., 2014

2013
Iris Segmentation for Challenging Periocular Images.
Proceedings of the Handbook of Iris Recognition, 2013

Deblurring and Sparse Unmixing for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2013

Detecting objects under shadows by fusion of hyperspectral and LiDAR DATA: A physical model approach.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

2012
Coupled segmentation and denoising/deblurring models for hyperspectral material identification.
Numer. Linear Algebra Appl., 2012

Randomized SVD Methods in Hyperspectral Imaging.
J. Electr. Comput. Eng., 2012

Matching highly non-ideal ocular images: An information fusion approach.
Proceedings of the 5th IAPR International Conference on Biometrics, 2012

2011
Modern Mathematics in Biomedical Imaging.
Int. J. Biomed. Imaging, 2011

Reconstructing and segmenting hyperspectral images from compressed measurements.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Iterative Directional Ray-Based Iris Segmentation for Challenging Periocular Images.
Proceedings of the Biometric Recognition - 6th Chinese Conference, 2011

2010
Matrix Structures and Parallel Algorithms for Image Superresolution Reconstruction.
SIAM J. Matrix Anal. Appl., 2010

Hyperspectral image segmentation, deblurring, and spectral analysis for material identification.
Proceedings of the Visual Information Processing XIX, 2010

2009
Line-Source Based X-Ray Tomography.
Int. J. Biomed. Imaging, 2009

Nonnegativity constraints in numerical analysis.
Proceedings of the Birth of Numerical Analysis, 2009

2007
Algorithms and applications for approximate nonnegative matrix factorization.
Comput. Stat. Data Anal., 2007

Non-Negative Tensor Factorization using Alpha and Beta Divergences.
Proceedings of the IEEE International Conference on Acoustics, 2007

Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Spectral unmixing using nonnegative tensor factorization.
Proceedings of the 45th Annual Southeast Regional Conference, 2007

2006
Document clustering using nonnegative matrix factorization.
Inf. Process. Manag., 2006

2005
Iterative ultrasonic signal and image deconvolution for estimation of the complex medium response.
Int. J. Imaging Syst. Technol., 2005

2004
High-resolution imaging using integrated optical systems.
Int. J. Imaging Syst. Technol., 2004

Iris recognition with enhanced depth-of-field image acquistion.
Proceedings of the Visual Information Processing XIII, Orlando, FL, USA, April 12, 2004, 2004

Text Mining Using Non-Negative Matrix Factorizations.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

2003
Real-Valued, Low Rank, Circulant Approximation.
SIAM J. Matrix Anal. Appl., 2003

Engineering the pupil phase to improve image quality.
Proceedings of the Visual Information Processing XII, Orlando, FL, USA, April 21, 2003, 2003

2002
Estimation of complex ultrasonic medium responses by deconvolution.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2000
Regularization of RIF blind image deconvolution.
IEEE Trans. Image Process., 2000

1996
Iterative image restoration using approximate inverse preconditioning.
IEEE Trans. Image Process., 1996

Fast Recursive Least Squares Adaptive Filtering by Fast Fourier Transform-Based Conjugate Gradient Iterations.
SIAM J. Sci. Comput., 1996

Generalization of Strang's Preconditioner with Applications to Toeplitz Least Squares Problems.
Numer. Linear Algebra Appl., 1996

Computations in astro-imaging.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1994
Circulant Preconditioned Toeplitz Least Squares Iterations.
SIAM J. Matrix Anal. Appl., January, 1994

Nonnegative Matrices in the Mathematical Sciences
Classics in Applied Mathematics 9, SIAM, ISBN: 978-1-61197-126-2, 1994

1993
FFT-based RLS in signal processing.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Fast Adaptive Condition Estimation.
SIAM J. Matrix Anal. Appl., 1992

Tracking the condition number for RLS in signal processing.
Math. Control. Signals Syst., 1992

1991
Recursive Least Squares on a Hypercube Multiprocessor Using the Covariance Factorization.
SIAM J. Sci. Comput., 1991

Adaptive Lanczos methods for recursive condition estimation.
Numer. Algorithms, 1991

1990
Parallel Algorithms for Dense Linear Algebra Computations.
SIAM Rev., 1990

Least-Squares Multiple Updating Algorithms on a Hypercube.
J. Parallel Distributed Comput., 1990

1988
Cholesky downdating on a hypercube.
Proceedings of the Third Conference on Hypercube Concurrent Computers and Applications, 1988

1987
Numerical properties of a hyperbolic rotation method for windowed RLS filtering.
Proceedings of the IEEE International Conference on Acoustics, 1987

1974
Linear Least Squares by Elimination and MGS.
J. ACM, 1974


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