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1.
A Differential Geometric Approach using Orientation Fields for Shape from Shading
by Kunsberg, Benjamin, Ph.D.  Yale University. 2014: 136 pages; 3580738.
2.
Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
4.
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.
5.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
7.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
9.
Bias in Novel Category Learning
by Martin, Sean, Ph.D.  New York University. 2015: 203 pages; 3740789.
10.
Performance analysis and inference of communication networks
by Ni, Jian, Ph.D.  Yale University. 2008: 178 pages; 3342752.
11.
Mechanical Inference in Dynamic Ecosystems
by Langendorf, R. E., Ph.D.  University of Colorado at Boulder. 2018: 138 pages; 10792156.
12.
Advances in Weak Identification and Robust Inference for Generically Identified Models
by Cox, Gregory Fletcher, Ph.D.  Yale University. 2017: 306 pages; 10633240.
13.
Grammatical methods in computer vision
by Purdy, Eric, Ph.D.  The University of Chicago. 2013: 212 pages; 3557428.
14.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
15.
Applications of Genomic Resources and Bayesian Inference Methods to the Breeding of Peach [Prunus persica (L.) Batsch]
by Fresnedo Ramirez, Jonathan, Ph.D.  University of California, Davis. 2014: 168 pages; 3646288.
16.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
17.
Landscape-based null models for archaeological inference
by Bocinsky, Ronald Kyle, Ph.D.  Washington State University. 2014: 216 pages; 3684754.
18.
Modeling shape, appearance and motion for human movement analysis
by Lin, Zhe, Ph.D.  University of Maryland, College Park. 2009: 153 pages; 3359399.
19.
Robust and efficient inference of scene and object motion in multi-camera systems
by Sankaranarayanan, Aswin C., Ph.D.  University of Maryland, College Park. 2009: 181 pages; 3391385.
20.
Leveraging Haplotype-Based Inference to Describe Adaptation and Speciation
by Smith, Joel Haviland, Ph.D.  The University of Chicago. 2018: 168 pages; 10788183.
21.
The Role of Scale in Ecological Inference: Implications for Interpreting Hominin Paleoecology
by Du, Andrew, Ph.D.  The George Washington University. 2017: 221 pages; 10252703.
23.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
24.
Automatic Shape-Constrained Non-Parametric Regression
by Gao, Zhikun, Ph.D.  The George Washington University. 2019: 173 pages; 13813788.
25.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
26.
Using and Manipulating Probabilistic Connectivity in Social Networks
by DuBois, Thomas, Ph.D.  University of Maryland, College Park. 2011: 194 pages; 3461511.
27.
Disease avoidance goals interfere with the spontaneous inference of traits
by McCarthy, Randy James, Ph.D.  Northern Illinois University. 2012: 199 pages; 3513143.
28.
Robust network inference with multivariate t-distributions
by Finegold, Michael A., Ph.D.  The University of Chicago. 2010: 94 pages; 3419771.
29.
Conditional modeling and conditional inference
by Chang, Lo-Bin, Ph.D.  Brown University. 2010: 199 pages; 3430173.
30.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
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