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1.
The Nonnegative Matrix Factorization: Methods and Applications
by Landi, Amanda Kim, Ph.D.  North Carolina State University. 2015: 120 pages; 10586642.
2.
Multilevel methods for discrete ill-posed problems: Application to deblurring
by Espanol, Malena Ines, Ph.D.  Tufts University. 2009: 138 pages; 3354723.
3.
DC Resistivity Inversion for Structural Information
by Par, Andrew R., M.S.  Colorado School of Mines. 2018: 82 pages; 10744014.
4.
Mathematical models and numerical methods for wavefront reconstruction
by Chu, Qing, Ph.D.  Emory University. 2013: 118 pages; 3614311.
5.
Reduced HyperBF networks: Practical optimization, regularization, and applications in bioinformatics
by Mahdi, Rami Nezar, Ph.D.  University of Louisville. 2010: 119 pages; 3415069.
6.
Numerical and statistical methods for Lagrangian actinometry
by Cox, Eric, Ph.D.  Purdue University. 2010: 221 pages; 3417958.
7.
Sparse Regularization for Inverse Problems Governed by Evolution Equations
by Humber, Cary Ross, Ph.D.  North Carolina State University. 2011: 127 pages; 3463778.
10.
Regularization Based Multitask Learning With Applications in Computational Biology
by Widmer, Christian, Dr.Nat.  Technische Universitaet Berlin (Germany). 2015: 153 pages; 10695936.
11.
Regularization and Simulation of Constrained Partial Differential Equations
by Altmann, Robert, Dr.Nat.  Technische Universitaet Berlin (Germany). 2015: 147 pages; 10699740.
12.
Hierarchical Reconstruction Method for Solving Ill-posed Linear Inverse Problems
by Zhong, Ming, Ph.D.  University of Maryland, College Park. 2016: 122 pages; 10128674.
13.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
14.
Basal shear strength inversions for ice sheets with an application to Jakobshavn Isbræ, Greenland
by Habermann, Marijke, Ph.D.  University of Alaska Fairbanks. 2013: 123 pages; 3607054.
15.
Iterative Techniques for Spectral Computed Tomography
by Salehjahromi, Morteza, Ph.D.  University of Massachusetts Lowell. 2019: 111 pages; 13902150.
16.
Nonlocal and Randomized Methods in Sparse Signal and Image Processing
by Crandall, Robert, Ph.D.  The University of Arizona. 2018: 96 pages; 10840330.
17.
Variational image segmentation based on pixel pairwise similarities
by Bertelli, Luca, Ph.D.  University of California, Santa Barbara. 2009: 192 pages; 3350379.
19.
Computational Imaging Methods for Improving Resolution in Biological Microscopy
by Chan, Kevin G., Ph.D.  University of California, Santa Barbara. 2017: 104 pages; 10263523.
20.
Towards improved identification of spatially-distributed rainfall runoff models
by Pokhrel, Prafulla, Ph.D.  The University of Arizona. 2010: 295 pages; 3404269.
21.
Statistical methods for high-dimensional data analysis
by Gupta, Abhishek, Ph.D.  University of Pennsylvania. 2008: 96 pages; 3346226.
22.
Decoding the Computations of Sensory Neurons
by Kaardal, Joel Thomas, Ph.D.  University of California, San Diego. 2017: 143 pages; 10633582.
23.
Canonical correlation analysis of functional data
by King, David, Ph.D.  Arizona State University. 2009: 158 pages; 3380673.
24.
A Total Variation and Spatially Varying Estimation Model for Image Restoration
by Hu, Xiaofei, Ph.D.  Syracuse University. 2010: 144 pages; 3459386.
25.
26.
Radiation Source Mapping with Bayesian Inverse Methods
by Hykes, Joshua Michael, Ph.D.  North Carolina State University. 2012: 198 pages; 3538540.
27.
Signal processing methods for brain connectivity
by Wheland, David Stanford, Ph.D.  University of Southern California. 2013: 158 pages; 3610033.
28.
Advances in online learning-based spam filtering
by Sculley, D., Ph.D.  Tufts University. 2008: 212 pages; 3320103.
29.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
30.
Regression Strategies for Low-Dimensional Problems with Application to Color Management
by Garcia, Eric K., Ph.D.  University of Washington. 2010: 102 pages; 3445541.
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