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2020 – today
- 2020
[c28]Alice M. S. Durieux, Christopher X. Ren, Matthew T. Calef, Rick Chartrand, Michael S. Warren:
BUDD: Multi-modal Bayesian Updating Deforestation Detections. IGARSS 2020: 6638-6641
2010 – 2019
- 2019
- [c27]Rick Chartrand, Matthew T. Calef, Michael S. Warren:
Exploiting Sparsity for Phase Unwrapping. IGARSS 2019: 258-261 - [c26]Caitlin Kontgis, Kornelijus Survila, Rick Chartrand, Dylan Rich:
Estimating the Number of Harvests Per Rice Paddy Field. IGARSS 2019: 7228-7230 - 2018
- [c25]Rick Chartrand:
Regularized Differentiation for Insar Phase Unwrapping. IGARSS 2018: 494-497 - 2017
- [c24]Rick Chartrand:
Numerical differentiation of noisy, nonsmooth, multidimensional data. GlobalSIP 2017: 244-248 - [c23]Caitlin Kontgis, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Daniela I. Moody:
Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics. MultiTemp 2017: 1-4 - [i3]Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Tim Kelton, Ryan Keisler, David Raleigh, Matthew J. Turk:
Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery. CoRR abs/1702.03935 (2017) - 2016
- [j6]Chandana Gangodagamage
, Efi Foufoula-Georgiou, Steven P. Brumby, Rick Chartrand, Alexander Koltunov, Desheng Liu, Michael Cai, Susan L. Ustin:
Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications. IEEE Geosci. Remote. Sens. Lett. 13(4): 480-484 (2016) - [c22]Daniela I. Moody, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Steven P. Brumby, Ryan Keisler, Tim Kelton, Mark Mathis:
Building a living atlas of the Earth in the cloud. ACSSC 2016: 1273-1277 - [c21]Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Tim Kelton, Ryan Keisler, David Raleigh, Matthew J. Turk:
Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery. DataCloud@SC 2016: 24-31 - 2015
- [c20]Michael S. Warren, Steven P. Brumby, Samuel W. Skillman, Tim Kelton, Brendt Wohlberg, Mark Mathis, Rick Chartrand, Ryan Keisler, Mark Johnson:
Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. AIPR 2015: 1-12 - [i2]Joseph Woodworth, Rick Chartrand:
Compressed Sensing Recovery via Nonconvex Shrinkage Penalties. CoRR abs/1504.02923 (2015) - 2014
- [c19]Will Landecker, Rick Chartrand, Simon DeDeo:
Robust Sparse Coding and Compressed Sensing with the Difference Map. ECCV (3) 2014: 315-329 - [c18]Rick Chartrand:
Shrinkage mappings and their induced penalty functions. ICASSP 2014: 1026-1029 - [c17]Huiyi Hu, Brendt Wohlberg, Rick Chartrand:
Task-driven dictionary learning for inpainting. ICASSP 2014: 3543-3547 - 2013
- [c16]Rick Chartrand, Emil Y. Sidky, Xiaochuan Pan:
Nonconvex compressive sensing for X-ray CT: An algorithm comparison. ACSSC 2013: 665-669 - [c15]Rick Chartrand:
Generalized shrinkage and penalty functions. GlobalSIP 2013: 616 - [c14]Sergey Voronin, Rick Chartrand:
A new generalized thresholding algorithm for inverse problems with sparsity constraints. ICASSP 2013: 1636-1640 - [c13]Rick Chartrand, Brendt Wohlberg:
A nonconvex ADMM algorithm for group sparsity with sparse groups. ICASSP 2013: 6009-6013 - [i1]Will Landecker, Rick Chartrand, Simon DeDeo:
Robust Compressed Sensing and Sparse Coding with the Difference Map. CoRR abs/1311.0053 (2013) - 2012
- [j5]Rick Chartrand:
Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition. IEEE Trans. Signal Process. 60(11): 5810-5819 (2012) - [c12]Amy E. Galbraith, Steven P. Brumby, Rick Chartrand:
Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery. AIPR 2012: 1-8 - [c11]Brendt Wohlberg, Rick Chartrand, James Theiler:
Local principal component pursuit for nonlinear datasets. ICASSP 2012: 3925-3928 - 2011
- [c10]Rick Chartrand, Emil Y. Sidky, Xiaochuan Pan:
Frequency extrapolation by nonconvex compressive sensing. ISBI 2011: 1056-1060 - 2010
- [j4]Rick Chartrand, Richard G. Baraniuk, Yonina C. Eldar, Mário A. T. Figueiredo, Jared Tanner:
Introduction to the Issue on Compressive Sensing. IEEE J. Sel. Top. Signal Process. 4(2): 241-243 (2010) - [c9]Rick Chartrand, Brendt Wohlberg:
Total-variation regularization with bound constraints. ICASSP 2010: 766-769
2000 – 2009
- 2009
- [j3]Erik M. Bollt, Rick Chartrand, Selim Esedoglu, Pete Schultz, Kevin R. Vixie:
Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion. Adv. Comput. Math. 31(1-3): 61-85 (2009) - [c8]Rick Chartrand:
Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data. ISBI 2009: 262-265 - 2008
- [c7]Rick Chartrand, Wotao Yin:
Iteratively reweighted algorithms for compressive sensing. ICASSP 2008: 3869-3872 - [c6]Rayan Saab, Rick Chartrand, Özgür Yilmaz:
Stable sparse approximations via nonconvex optimization. ICASSP 2008: 3885-3888 - [c5]Rick Chartrand:
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling. ICIP 2008: 2624-2627 - [c4]Rick Chartrand, Valentina Staneva:
A Faster-converging Algorithm for Image Segmentation with a Modified Chan-Vese Model. IPCV 2008: 212-216 - 2007
- [j2]Triet Le, Rick Chartrand, Thomas J. Asaki:
A Variational Approach to Reconstructing Images Corrupted by Poisson Noise. J. Math. Imaging Vis. 27(3): 257-263 (2007) - [j1]Rick Chartrand:
Exact Reconstruction of Sparse Signals via Nonconvex Minimization. IEEE Signal Process. Lett. 14(10): 707-710 (2007) - [c3]Rick Chartrand:
Nonconvex Compressed Sensing and Error Correction. ICASSP (3) 2007: 889-892 - [c2]Rick Chartrand:
Nonconvex Regularization for Shape Preservation. ICIP (1) 2007: 293-296 - [c1]Rick Chartrand, Valentina Staneva:
Nonconvex Regularization for Image Segmentation. IPCV 2007: 334-337
Coauthor Index
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