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1.
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.
2.
Linking neural activity with perceptual decision making via sparse decoding
by Shi, Jianing, Ph.D.  Columbia University. 2010: 211 pages; 3428702.
3.
Waveform-based velocity estimation from reflection seismic data
by Ma, Yong, Ph.D.  Colorado School of Mines. 2012: 166 pages; 3545176.
4.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
5.
Sparse approximation and atomic decomposition: Considering atom interactions in evaluating and building signal representations
by Townsend Sturm, Bobby Lee, Jr., Ph.D.  University of California, Santa Barbara. 2009: 276 pages; 3350384.
6.
Texture Representations for Image Retrieval
by Shafer, Scott A., M.S.  The George Washington University. 2012: 65 pages; 1510228.
7.
Sparsity-Promoting Optimal Controller Design
by Bahavarnia, MirSaleh, Ph.D.  Lehigh University. 2018: 268 pages; 10814739.
8.
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.
9.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
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Multi-fidelity Stochastic Collocation
by Raissi, Maziar, Ph.D.  George Mason University. 2013: 80 pages; 3591697.
12.
Performance evaluation of inexact GMRES
by Winkles, Nathan E., Ph.D.  The University of Alabama. 2011: 122 pages; 3478682.
13.
Decoding of purely compressed-sensed video
by Liu, Ying, Ph.D.  State University of New York at Buffalo. 2012: 91 pages; 3541131.
14.
Compressive Sensing: Performance of Sparse Channel Estimation in Orthogonal Frequency Division Multiplexing
by Shenoy, Dinesh Nandakumar, M.S.  California State University, Long Beach. 2018: 43 pages; 10751778.
16.
The Performance of Random Prototypes in Hierarchical Models of Vision
by Stewart, Kendall Lee, M.S.  Portland State University. 2015: 79 pages; 1605894.
17.
Nonlocal and Randomized Methods in Sparse Signal and Image Processing
by Crandall, Robert, Ph.D.  The University of Arizona. 2018: 96 pages; 10840330.
18.
Conserving Connecticut's Natural History: Bat Communities and Habitat Use Post-White-Nose Syndrome
by Wisniewski, Christopher D., M.S.  Southern Connecticut State University. 2018: 52 pages; 10807785.
19.
Convex optimization techniques and their application in hyperspectral video processing
by Gerhart, Torin, M.S.  California State University, Long Beach. 2013: 57 pages; 1527552.
20.
A Framework For Learning Scene Independent Edge Detection
by Wilbee, Aaron J., M.S.  Rochester Institute of Technology. 2015: 199 pages; 1589662.
21.
Real-Space Localization Methods for Minimizing the Kohn-Sham Energy
by Millstone, Marc, Ph.D.  New York University. 2011: 84 pages; 3466938.
22.
High performance methods for frequent pattern mining
by Vu, Lan, Ph.D.  University of Colorado at Denver. 2014: 190 pages; 3667246.
23.
Visual tracking and illumination recovery via sparse representation
by Mei, Xue, Ph.D.  University of Maryland, College Park. 2009: 132 pages; 3391383.
24.
Constructing a Clinical Research Data Management System
by Quintero, Michael C., M.S.C.S.  University of South Florida. 2017: 47 pages; 10640886.
25.
Principal Network Analysis
by Mei, Jonathan B., Ph.D.  Carnegie Mellon University. 2018: 154 pages; 10822110.
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Vecinos en la Frontera: Interaction, adaptation, and identity at San Miguel del Vado, New Mexico
by Jenks, Kelly Lee, Ph.D.  The University of Arizona. 2011: 699 pages; 3453010.
28.
Statistical models and optimization algorithms for high-dimensional computer vision problems
by Mitra, Kaushik, Ph.D.  University of Maryland, College Park. 2011: 155 pages; 3478970.
29.
Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
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