Rick Chartrand

37 papers B 1C 4Misc 10Journal 9Unranked 13

Year	Rank	Type	Title / Venue / Authors
2020	C	`conf`	BUDD: Multi-modal Bayesian Updating Deforestation Detections. IGARSS Alice M. S. Durieux, Christopher X. Ren, Matthew T. Calef, Rick Chartrand, Michael S. Warren
2019	C	`conf`	Estimating the Number of Harvests Per Rice Paddy Field. IGARSS Caitlin Kontgis, Kornelijus Survila, Rick Chartrand, Dylan Rich
2019	C	`conf`	Exploiting Sparsity for Phase Unwrapping. IGARSS Rick Chartrand, Matthew T. Calef, Michael S. Warren
2018	C	`conf`	Regularized Differentiation for Insar Phase Unwrapping. IGARSS Rick Chartrand
2017	J	`jnl`	Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery. CoRR Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Tim Kelton, Ryan Keisler, David Raleigh, Matthew J. Turk
2017	—	`conf`	Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics. MultiTemp Caitlin Kontgis, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Daniela I. Moody
2017	—	`conf`	Numerical differentiation of noisy, nonsmooth, multidimensional data. GlobalSIP Rick Chartrand
2016	Misc	`conf`	Building a living atlas of the Earth in the cloud. ACSSC Daniela I. Moody, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Steven P. Brumby, Ryan Keisler, Tim Kelton, Mark Mathis
2016	—	`conf`	Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery. DataCloud@SC Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Tim Kelton, Ryan Keisler, David Raleigh, Matthew Turk
2016	J	`jnl`	Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications. IEEE Geosci. Remote. Sens. Lett. Chandana Gangodagamage, Efi Foufoula-Georgiou, Steven P. Brumby, Rick Chartrand, Alexander Koltunov, Desheng Liu, Michael Cai, Susan L. Ustin
2015	J	`jnl`	Compressed Sensing Recovery via Nonconvex Shrinkage Penalties. CoRR Joseph Woodworth, Rick Chartrand
2015	—	`conf`	Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. AIPR Michael S. Warren, Steven P. Brumby, Samuel W. Skillman, Tim Kelton, Brendt Wohlberg, Mark Mathis, Rick Chartrand, Ryan Keisler, Mark Johnson
2014	—	`conf`	Robust Sparse Coding and Compressed Sensing with the Difference Map. ECCV (3) Will Landecker, Rick Chartrand, Simon DeDeo
2014	Misc	`conf`	Shrinkage mappings and their induced penalty functions. ICASSP Rick Chartrand
2014	Misc	`conf`	Task-driven dictionary learning for inpainting. ICASSP Huiyi Hu, Brendt Wohlberg, Rick Chartrand
2013	Misc	`conf`	A new generalized thresholding algorithm for inverse problems with sparsity constraints. ICASSP Sergey Voronin, Rick Chartrand
2013	Misc	`conf`	A nonconvex ADMM algorithm for group sparsity with sparse groups. ICASSP Rick Chartrand, Brendt Wohlberg
2013	—	`conf`	Generalized shrinkage and penalty functions. GlobalSIP Rick Chartrand
2013	Misc	`conf`	Nonconvex compressive sensing for X-ray CT: An algorithm comparison. ACSSC Rick Chartrand, Emil Y. Sidky, Xiaochuan Pan
2013	J	`jnl`	Robust Compressed Sensing and Sparse Coding with the Difference Map. CoRR Will Landecker, Rick Chartrand, Simon DeDeo
2012	Misc	`conf`	Local principal component pursuit for nonlinear datasets. ICASSP Brendt Wohlberg, Rick Chartrand, James Theiler
2012	J	`jnl`	Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition. IEEE Trans. Signal Process. Rick Chartrand
2012	—	`conf`	Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery. AIPR Amy E. Galbraith, Steven P. Brumby, Rick Chartrand
2011	—	`conf`	Frequency extrapolation by nonconvex compressive sensing. ISBI Rick Chartrand, Emil Y. Sidky, Xiaochuan Pan
2010	J	`jnl`	Introduction to the Issue on Compressive Sensing. IEEE J. Sel. Top. Signal Process. Rick Chartrand, Richard G. Baraniuk, Yonina C. Eldar, Mário A. T. Figueiredo, Jared Tanner
2010	Misc	`conf`	Total-variation regularization with bound constraints. ICASSP Rick Chartrand, Brendt Wohlberg
2009	—	`conf`	Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data. ISBI Rick Chartrand
2009	J	`jnl`	Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion. Adv. Comput. Math. Erik M. Bollt, Rick Chartrand, Selim Esedoglu, Pete Schultz, Kevin R. Vixie
2008	—	`conf`	A Faster-converging Algorithm for Image Segmentation with a Modified Chan-Vese Model. IPCV Rick Chartrand, Valentina Staneva
2008	Misc	`conf`	Iteratively reweighted algorithms for compressive sensing. ICASSP Rick Chartrand, Wotao Yin
2008	B	`conf`	Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling. ICIP Rick Chartrand
2008	Misc	`conf`	Stable sparse approximations via nonconvex optimization. ICASSP Rayan Saab, Rick Chartrand, Özgür Yilmaz
2007	J	`jnl`	A Variational Approach to Reconstructing Images Corrupted by Poisson Noise. J. Math. Imaging Vis. Triet Le, Rick Chartrand, Thomas J. Asaki
2007	J	`jnl`	Exact Reconstruction of Sparse Signals via Nonconvex Minimization. IEEE Signal Process. Lett. Rick Chartrand
2007	—	`conf`	Nonconvex Compressed Sensing and Error Correction. ICASSP (3) Rick Chartrand
2007	—	`conf`	Nonconvex Regularization for Image Segmentation. IPCV Rick Chartrand, Valentina Staneva
2007	—	`conf`	Nonconvex Regularization for Shape Preservation. ICIP (1) Rick Chartrand