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2.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
3.
Fast Time-of-Flight Phase Unwrapping and Scene Segmentation Using Data Driven Scene Priors
by Crabb, Ryan Eugene, Ph.D.  University of California, Santa Cruz. 2015: 145 pages; 3746704.
4.
Conquering image imperfectness by priors with applications to image recovery
by Dai, Shengyang, Ph.D.  Northwestern University. 2009: 142 pages; 3386960.
5.
Quantifying Human Priors over Abstract Relational Structures
by Bravo-Hermsdorff, Gecia, Ph.D.  Princeton University. 2020: 187 pages; 27546804.
6.
Surface-based image segmentation using application-specific priors
by Veni, Gopalkrishna, Ph.D.  The University of Utah. 2016: 122 pages; 10248529.
7.
Uncovering Human Visual Priors
by Langlois, Thomas A., Ph.D.  University of California, Berkeley. 2018: 112 pages; 10931026.
9.
Bayesian monitoring of clinical trials: Examples using conjugate priors
by Tromp, Mary, M.S.  California State University, Long Beach. 2015: 26 pages; 1583226.
10.
Modeling shape, appearance and motion for human movement analysis
by Lin, Zhe, Ph.D.  University of Maryland, College Park. 2009: 153 pages; 3359399.
11.
Two-view Geometry, Symmetry, and Object Perception
by Michaux, Aaron, Ph.D.  Purdue University. 2017: 129 pages; 10603936.
12.
Strong geometric context for scene understanding
by Diaz Garcia, Raul, Ph.D.  University of California, Irvine. 2016: 104 pages; 10195873.
14.
Computational Bayesian Methods Applied to Complex Problems in Bio and Astro Statistics
by Elrod, Chris, Ph.D.  Baylor University. 2019: 103 pages; 27540692.
15.
Lifelong Robotic Object Perception
by Collet Romea, Alvaro, Ph.D.  Carnegie Mellon University. 2012: 173 pages; 3534975.
16.
Structural RNA homology search and alignment using covariance models
by Nawrocki, Eric Paul, Ph.D.  Washington University in St. Louis. 2009: 281 pages; 3372748.
17.
A Spline Framework for Optimal Representation of Semiperiodic Signals
by Guilak, Farzin G., Ph.D.  Portland State University. 2015: 196 pages; 3722040.
18.
Distribution Matching Methods for Parameter Estimation and Model Selection in Computational Biology
by Lillacci, Gabriele, Ph.D.  University of California, Santa Barbara. 2012: 252 pages; 3545071.
19.
Essays on auction and matching theory
by Johnson, Terence Robert, Ph.D.  University of Maryland, College Park. 2011: 165 pages; 3495572.
20.
Real Frequency Parametric Approach to Broadband Matching Problems
by To, Chau B., M.S.  California State University, Long Beach. 2017: 66 pages; 10638732.
21.
Beyond regular: Pattern matching with extended regular expressions
by Carle, Benjamin, Ph.D.  State University of New York at Albany. 2010: 60 pages; 3402517.
22.
Essays on matching, efficiency, and optimal social policy
by Davis, Jonathan Martin Villars, Ph.D.  The University of Chicago. 2016: 120 pages; 10129557.
23.
Generalized Conditional Matching Algorithm for Ordered and Unordered Sets
by Krishnan, Ravikiran, Ph.D.  University of South Florida. 2014: 120 pages; 3666203.
24.
A gigabit multi-drop interconnect with impedance matching network
by Ye, Zhijing, M.S.  Southern Methodist University. 2016: 47 pages; 10109007.
25.
Uniform avoidance coupling, design of anonymity systems and matching theory
by Infeld, Ewa Joanna, Ph.D.  Dartmouth College. 2016: 119 pages; 10145489.
26.
Matching Students with Support Services through a Constrained Linear Optimization Model
by Gonzalez, Diana, M.S.  California State University, Long Beach. 2018: 64 pages; 10828179.
27.
Streamline the Hiring Process by Matching Personality Types to Coaching Strategies
by Hamblin, Melanie J., Ed.D.  Wingate University. 2013: 96 pages; 3591771.
28.
Examining Different Formats for Vocabulary Matching Curriculum-Based Measurement in Science
by White, Kristen K., Psy.D.  Southern Illinois University at Edwardsville. 2020: 50 pages; 27956931.
29.
Spectral Library Construction and Matching of MS/MS Spectra at Repository Scales
by Wang, Mingxun, Ph.D.  University of California, San Diego. 2017: 137 pages; 10284805.
30.
Effort Compression: Signal-Dependent Gain Management for the Pressure Matching Beamforming Method
by Patros, Elliot M., Ph.D.  University of California, San Diego. 2019: 103 pages; 27545436.
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