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1.
Sparsity-Promoting Optimal Controller Design
by Bahavarnia, MirSaleh, Ph.D.  Lehigh University. 2018: 268 pages; 10814739.
2.
Topics in Sparse Recovery via Constrained Optimization: Least Sparsity, Solution Uniqueness, and Constrained Exact Recovery
by Mousavi, Seyedahmad, Ph.D.  University of Maryland, Baltimore County. 2019: 206 pages; 22623638.
4.
Decoding of purely compressed-sensed video
by Liu, Ying, Ph.D.  State University of New York at Buffalo. 2012: 91 pages; 3541131.
5.
Efficient and Robust Shape Correspondence Methods
by Xiang, Rui, Ph.D.  University of California, Irvine. 2020: 79 pages; 27962256.
6.
Effective source separation algorithm using NMF and sparse NMF for acoustic fall detection
by Wang, Yanlin, M.S.  University of Missouri - Columbia. 2014: 119 pages; 10180882.
7.
Integrating Exponential Dispersion Models to Latent Structures
by Basbug, Mehmet Emin, Ph.D.  Princeton University. 2017: 125 pages; 10254057.
8.
An author recommendation system using both content-based and collaborative filtering methods
by Rajagopal Archary, Rajasangari, M.S.  California State University, Long Beach. 2011: 123 pages; 1493049.
9.
Sparse dictionary learning and domain adaptation for face and action recognition
by Qiu, Qiang, Ph.D.  University of Maryland, College Park. 2013: 150 pages; 3587452.
10.
A longitudinal fiscal neutrality analysis of the Minnesota k-12 public school funding formula
by Larson, Jeremy, Ed.D.  The University of North Dakota. 2014: 127 pages; 3640926.
11.
The Nonnegative Matrix Factorization: Methods and Applications
by Landi, Amanda Kim, Ph.D.  North Carolina State University. 2015: 120 pages; 10586642.
12.
Linear programming with the simplex algorithm: Parallelization and other optimizations
by Ankony, Robert C., M.S.C.S.  California State University, Long Beach. 2012: 88 pages; 1520889.
13.
Collaborative Targeted Maximum Likelihood Estimation
by Gruber, Susan, Ph.D.  University of California, Berkeley. 2011: 160 pages; 3499349.
14.
Low Complexity Sub-Nyquist Spectrum Sensing for Wideband Cognitive Radios
by Shaban, Mohamed, Ph.D.  University of Louisiana at Lafayette. 2016: 116 pages; 10003781.
15.
Nonlocal and Randomized Methods in Sparse Signal and Image Processing
by Crandall, Robert, Ph.D.  The University of Arizona. 2018: 96 pages; 10840330.
16.
Real-Space Localization Methods for Minimizing the Kohn-Sham Energy
by Millstone, Marc, Ph.D.  New York University. 2011: 84 pages; 3466938.
17.
Leveraging Arti cial Intelligence to Advance Problem-Solving with Quantum Annealers
by Ayanzadeh, Ramin, Ph.D.  University of Maryland, Baltimore County. 2020: 165 pages; 27960509.
18.
Principal Network Analysis
by Mei, Jonathan B., Ph.D.  Carnegie Mellon University. 2018: 154 pages; 10822110.
19.
Large-Scale, Hybrid Approaches for Recommending Web Pages Based on Content and User's Previous Click Patterns
by Sharif, Mohammad Amir, Ph.D.  University of Louisiana at Lafayette. 2015: 108 pages; 10002452.
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Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
23.
Sparse Regularization for Inverse Problems Governed by Evolution Equations
by Humber, Cary Ross, Ph.D.  North Carolina State University. 2011: 127 pages; 3463778.
24.
Fused Lasso and Tensor Covariance Learning with Robust Estimation
by Kunz, Matthew Ross, Ph.D.  The Florida State University. 2018: 82 pages; 10973227.
25.
Models and mechanisms for integrating cortical feature spaces
by Monaco, Joseph Daniel, Ph.D.  Columbia University. 2009: 167 pages; 3393609.
26.
Considerations on the optimal and efficient processing of information-bearing signals
by Harms, Herbert Andrew, Ph.D.  Princeton University. 2013: 174 pages; 3597492.
27.
Three-Dimensional Super-Resolution Microscopy Using Laser Scanning and Non-Linear Optimization
by Chen, Simeng, Ph.D.  University of Colorado at Boulder. 2020: 121 pages; 28031126.
28.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
29.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
30.
Linking neural activity with perceptual decision making via sparse decoding
by Shi, Jianing, Ph.D.  Columbia University. 2010: 211 pages; 3428702.
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