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1.
Nonlinear discriminant analysis based feature dimensionality reduction for automatic speech recognition
by Hu, Hongbing, Ph.D.  State University of New York at Binghamton. 2010: 145 pages; 3423029.
2.
Decoding the Computations of Sensory Neurons
by Kaardal, Joel Thomas, Ph.D.  University of California, San Diego. 2017: 143 pages; 10633582.
3.
Improving the performance of hyperspectral target detection
by Ma, Ben, Ph.D.  Mississippi State University. 2012: 124 pages; 3546551.
5.
Exploiting spatial and spectral information in hyperdimensional imagery
by Lee, Matthew Allen, Ph.D.  Mississippi State University. 2012: 104 pages; 3522207.
6.
Extracting Key Features for Analysis and Recognition in Computer Vision
by Gao, Hui, Ph.D.  The Ohio State University. 2006: 164 pages; 10835745.
7.
Time order reconstruction of video content
by Hsu, Ming Kai, D.Sc.  The George Washington University. 2011: 115 pages; 3449208.
8.
Looking at people using partial least squares
by Schwartz, William Robson, Ph.D.  University of Maryland, College Park. 2010: 123 pages; 3426408.
9.
Image analysis for realistic electromagnetic imaging systems
by Ramirez-Velez, Mabel Delice, Ph.D.  University of Colorado at Boulder. 2009: 172 pages; 3366658.
10.
An Integrated Phylogeographic Analysis of the Bantu Migration
by Ford, Colby Tyler, Ph.D.  The University of North Carolina at Charlotte. 2018: 120 pages; 10748780.
11.
Automatic Age Estimation from Real-World and Wild Face Images by Using Deep Neural Networks
by Qawaqneh, Zakariya, Ph.D.  University of Bridgeport. 2017: 99 pages; 10689195.
12.
Real-time progressive band processing for linear spectral unmixing and endmember extraction
by Fisher, Kevin Daniel, Ph.D.  University of Maryland, Baltimore County. 2012: 110 pages; 3550809.
13.
GPT-Free Sensitivity Analysis for Reactor Depletion and Analysis
by Kennedy, Christopher Brandon, Ph.D.  North Carolina State University. 2015: 233 pages; 3710730.
14.
Motor cortical control of naturalistic reaching and grasping actions
by Vargas Irwin, Carlos E., Ph.D.  Brown University. 2010: 180 pages; 3430219.
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16.
Learning from time series in the presence of noise: Unsupervised and semi-supervised approaches
by Yankov, Dragomir Dimitrov, Ph.D.  University of California, Riverside. 2008: 165 pages; 3305676.
17.
Weighted clustering ensembles
by Al-Razgan, Muna Saleh, Ph.D.  George Mason University. 2008: 146 pages; 3323309.
18.
Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
21.
Sparse recovery and parameterization of manifold-valued data
by Taylor, Kye, M.S.  University of Colorado at Boulder. 2008: 105 pages; 1453576.
22.
Feature Selection for Diffusion Methods Within a Supervised Context
by Le, Minh-Tam, Ph.D.  Yale University. 2014: 135 pages; 3582256.
23.
Learning functions on unknown manifolds
by Zhou, Xueyuan, Ph.D.  The University of Chicago. 2011: 126 pages; 3487652.
24.
Statistical methods for high-dimensional data analysis
by Gupta, Abhishek, Ph.D.  University of Pennsylvania. 2008: 96 pages; 3346226.
25.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
26.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
27.
Phonon Scattering and Confinement in Crystalline Films
by Parrish, Kevin D., Ph.D.  Carnegie Mellon University. 2017: 161 pages; 10622930.
29.
A Randomized Approximate Nearest Neighbors Algorithm
by Osipov, Andrei, Ph.D.  Yale University. 2011: 137 pages; 3467911.
30.
Associations and Confounding in High-Dimensional Genomics
by Darnell, Gregory Byer, Ph.D.  Princeton University. 2019: 169 pages; 13865166.
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