Roummel Marcia

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Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu
Lasith AdhikariScientist, Philips ResearchVerified email at philips.com
Mario BanuelosCalifornia State University, FresnoVerified email at csufresno.edu
Suzanne SindiProfessor of Applied MathematicsVerified email at ucmerced.edu
Maxim RaginskyProfessor of Electrical and Computer Engineering, University of Illinois, Urbana-ChampaignVerified email at illinois.edu
Jacob RafatiPhD, University of California, MercedVerified email at ucmerced.edu
Jonathan NicholsNaval Research Laboratory AND Duke UniversityVerified email at nrl.navy.mil
Jorge SilvaSAS InstituteVerified email at sas.com
Oleg BurdakovLinköping UniversityVerified email at liu.se
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceVerified email at wisc.edu
Laura BalzanoUniversity of Michigan, Ann ArborVerified email at umich.edu
Joshua D GriffinSAS Institute Inc.Verified email at sas.com
Riadh OmheniSAS Institute Inc.Verified email at sas.com
David J BradyJ. W. and H. M. Goodman Endowed Chair in Optical Sciences, University of ArizonaVerified email at arizona.edu
Philip E. GillDepartment of Mathematics, UC San DiegoVerified email at ucsd.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Robert PlemmonsReynolds Professor of Computer Science and Mathematics, Emeritus Wake Forest UniversityVerified email at wfu.edu
Changqing LiProfessor, Department of Electrical Engineering, UC MercedVerified email at ucmerced.edu

Roummel Marcia

Professor of Applied Mathematics, University of California, Merced

Verified email at ucmerced.edu - Homepage

Nonlinear optimization signal processing computational biology machine learning data science


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This is SPIRAL-TAP: Sparse Poisson intensity reconstruction algorithms—theory and practice ZT Harmany, RF Marcia, RM Willett IEEE Transactions on Image Processing 21 (3), 1084-1096, 2011	384	2011
Compressed sensing for practical optical imaging systems: a tutorial RM Willett, RF Marcia, JM Nichols Optical Engineering 50 (7), 072601-072601-13, 2011	319	2011
Compressed sensing performance bounds under Poisson noise M Raginsky, RM Willett, ZT Harmany, RF Marcia IEEE Transactions on Signal Processing 58 (8), 3990-4002, 2010	184	2010
Compressive coded aperture superresolution image reconstruction RF Marcia, RM Willett 2008 IEEE international conference on acoustics, speech and signal …, 2008	171	2008
Compressive coded aperture imaging RF Marcia, ZT Harmany, RM Willett Computational Imaging VII 7246, 106-118, 2009	135	2009
Compressive coded aperture video reconstruction RF Marcia, RM Willett 2008 16th European Signal Processing Conference, 1-5, 2008	130	2008
Sequential anomaly detection in the presence of noise and limited feedback M Raginsky, RM Willett, C Horn, J Silva, RF Marcia IEEE Transactions on Information Theory 58 (8), 5544-5562, 2012	115	2012
Synaptotagmin C2A Loop 2 Mediates Ca²⁺-dependent SNARE Interactions Essential for Ca²⁺-triggered Vesicle Exocytosis KL Lynch, RRL Gerona, EC Larsen, RF Marcia, JC Mitchell, TFJ Martin Molecular biology of the cell 18 (12), 4957-4968, 2007	90	2007
Performance bounds for expander-based compressed sensing in Poisson noise M Raginsky, S Jafarpour, ZT Harmany, RF Marcia, RM Willett, ... IEEE Transactions on Signal Processing 59 (9), 4139-4153, 2011	61	2011
On solving L-SR1 trust-region subproblems J Brust, JB Erway, RF Marcia Computational Optimization and Applications 66, 245-266, 2017	57	2017
Sparse Poisson intensity reconstruction algorithms ZT Harmany, RF Marcia, RM Willett 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 634-637, 2009	47	2009
Group-sparse subspace clustering with missing data D Pimentel-Alarcón, L Balzano, R Marcia, R Nowak, R Willett 2016 ieee statistical signal processing workshop (ssp), 1-5, 2016	46	2016
Poisson image reconstruction with total variation regularization RM Willett, ZT Harmany, RF Marcia 2010 IEEE International Conference on Image Processing, 4177-4180, 2010	44	2010
Trust-region algorithms for training responses: machine learning methods using indefinite hessian approximations JB Erway, J Griffin, RF Marcia, R Omheni Optimization Methods and Software 35 (3), 460-487, 2020	36	2020
Compressive coded apertures for high-resolution imaging RF Marcia, ZT Harmany, RM Willett Optics, Photonics, and Digital Technologies for Multimedia Applications 7723 …, 2010	35	2010
Nonconvex regularization-based sparse recovery and demixing with application to color image inpainting F Wen, L Adhikari, L Pei, RF Marcia, P Liu, RC Qiu IEEE Access 5, 11513-11527, 2017	33	2017
Convex quadratic approximation JB Rosen, RF Marcia Computational Optimization and Applications 28, 173-184, 2004	28	2004
Improving L-BFGS initialization for trust-region methods in deep learning J Rafati, RF Marcia 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018	27	2018
On efficiently computing the eigenvalues of limited-memory quasi-Newton matrices JB Erway, RF Marcia SIAM Journal on Matrix Analysis and Applications 36 (3), 1338-1359, 2015	27	2015
SPIRAL out of convexity: Sparsity-regularized algorithms for photon-limited imaging ZT Harmany, RF Marcia, RM Willett Computational Imaging VIII 7533, 207-218, 2010	26	2010

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