Rebecca M. Willett
Affiliations: | Electrical and Computer Engineering | Duke University, Durham, NC |
Area:
Electronics and Electrical Engineering, Optics PhysicsGoogle:
"Rebecca Willett"Parents
Sign in to add mentor| Robert D. Nowak | grad student | 2005 | Rice University | |
| (Multiresolution methods for recovering signals and sets from noisy observations.) | ||||
Children
Sign in to add trainee| Kalyani Krishnamurthy | grad student | 2011 | Duke |
| Zachary T. Harmany | grad student | 2012 | Duke |
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Publications
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| Gilton D, Ongie G, Willett R. (2020) Neumann Networks for Linear Inverse Problems in Imaging Ieee Transactions On Computational Imaging. 6: 328-343 |
| Hall EC, Raskutti G, Willett RM. (2019) Learning High-dimensional Generalized Linear Autoregressive Models. Ieee Transactions On Information Theory. 65: 2401-2422 |
| Mark B, Raskutti G, Willett R. (2019) Network Estimation From Point Process Data Ieee Transactions On Information Theory. 65: 2953-2975 |
| Hunt XJ, Reynaud-Bouret P, Rivoirard V, et al. (2019) A Data-Dependent Weighted LASSO Under Poisson Noise Ieee Transactions On Information Theory. 65: 1589-1613 |
| Drewry JL, Luck BD, Willett RM, et al. (2019) Predicting kernel processing score of harvested and processed corn silage via image processing techniques Computers and Electronics in Agriculture. 160: 144-152 |
| Hunt XJ, Willett R. (2018) Online Data Thinning via Multi-Subspace Tracking. Ieee Transactions On Pattern Analysis and Machine Intelligence. 41: 1173-1187 |
| Marais WJ, Holz RE, Hu YH, et al. (2016) Approach to simultaneously denoise and invert backscatter and extinction from photon-limited atmospheric lidar observations. Applied Optics. 55: 8316-8334 |
| Chitalia R, Mueller J, Fu HL, et al. (2016) Algorithms for differentiating between images of heterogeneous tissue across fluorescence microscopes. Biomedical Optics Express. 7: 3412-3424 |
| Yankovich AB, Zhang C, Oh A, et al. (2016) Non-rigid registration and non-local principle component analysis to improve electron microscopy spectrum images. Nanotechnology. 27: 364001 |
| Fu HL, Mueller JL, Whitley MJ, et al. (2016) Structured Illumination Microscopy and a Quantitative Image Analysis for the Detection of Positive Margins in a Pre-Clinical Genetically Engineered Mouse Model of Sarcoma. Plos One. 11: e0147006 |