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1.
Denoising amplicon-based metagenomic data
by Gaspar, John M., Ph.D.  University of New Hampshire. 2014: 118 pages; 3581214.
2.
Nonlocal and Randomized Methods in Sparse Signal and Image Processing
by Crandall, Robert, Ph.D.  The University of Arizona. 2018: 96 pages; 10840330.
3.
Three essays on analytical models to improve early detection of cancer
by Gopalappa, Chaitra, Ph.D.  University of South Florida. 2010: 126 pages; 3425690.
4.
ETS in tidal records
by Alba, Sequoia, M.S.  University of Oregon. 2011: 88 pages; 1505095.
6.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
7.
Speech Enhancement Techniques for Large Space Habitats Using Microphone Arrays
by Achi, Peter Y., M.S.  University of Louisiana at Lafayette. 2018: 61 pages; 10813016.
8.
Machine learning for the automatic detection of anomalous events
by Fisher, Wendy D., Ph.D.  Colorado School of Mines. 2017: 173 pages; 10258193.
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10.
Solving Large-Scale Inverse Problems via Approximate Message Passing and Optimization
by Ma, Yanting, Ph.D.  North Carolina State University. 2017: 180 pages; 10758823.
11.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
12.
Investigation on the use of Graph Signal Processing for an intelligent taxis transportation system
by Al-Attabi, Ali Khalaf Nawar, M.S.  California State University, Fullerton. 2016: 58 pages; 10244831.
14.
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.
15.
Probabilistic models of phase variables for visual representation and neural dynamics
by Cadieu, Charles, Ph.D.  University of California, Berkeley. 2009: 120 pages; 3402686.
16.
Image analysis for realistic electromagnetic imaging systems
by Ramirez-Velez, Mabel Delice, Ph.D.  University of Colorado at Boulder. 2009: 172 pages; 3366658.
18.
Poisson multiscale methods for high-throughput sequencing data
by Xing, Zhengrong, Ph.D.  The University of Chicago. 2016: 229 pages; 10195268.
19.
A proposed framework for forensic image enhancement
by Ledesma, Spencer Aguila, M.S.  University of Colorado at Denver. 2015: 109 pages; 1605105.
20.
Computational Imaging Methods for Improving Resolution in Biological Microscopy
by Chan, Kevin G., Ph.D.  University of California, Santa Barbara. 2017: 104 pages; 10263523.
21.
Application of wavelet on quasi-periodic physiologic signals
by Bhavsar, Krupa S., M.S.  California State University, Long Beach. 2017: 137 pages; 10251366.
22.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
23.
Remote Heart Monitoring: A Predictive Modeling Approach for Biomedical Signal Processing
by Chen, Jiaming, M.S.  Northern Arizona University. 2018: 87 pages; 10846864.
24.
Active Galactic Nuclei Feedback and Galactic Outflows
by Sun, Ai-Lei, Ph.D.  Princeton University. 2016: 229 pages; 10167547.
25.
Development and Validation of Adipose Tissue Segmentation Algorithms in Dixon MRI and Echocardiography Scans
by Elliott, Addison, M.S.  Southern Illinois University at Edwardsville. 2019: 111 pages; 10788679.
27.
Wavelet frames on the sphere, high angular resolution diffusion imaging and l1-regularized optimization on Stiefel manifolds
by Weiqiang, Chen, M.Sc.  National University of Singapore (Singapore). 2015: 161 pages; 10005982.
28.
Image classification using invariant local features and contextual information
by Bharath, Ramesh, Ph.D.  National University of Singapore (Singapore). 2015: 178 pages; 10006074.
29.
SNR estimation and jamming detection techniques using wavelets
by Quiros, Paula Quintana, M.S.  California State University, Long Beach. 2014: 125 pages; 1569590.
30.
Detection of low rank signals in noise and fast correlation mining with applications to large biological data
by Shabalin, Andrey A., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 139 pages; 3418746.
1 - 30 of 166 displayed.
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