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1.
Police car ‘visibility’: The relationship between detection, categorization and visual saliency
by Thomas, Mark Dewayne, Ph.D.  Mississippi State University. 2012: 178 pages; 3505525.
2.
Cortical dynamics of object categorization and recognition with category exemplars
by Maher, Stephen M., Ph.D.  Tufts University. 2011: 134 pages; 3460831.
3.
Time course of visual object categorization and long-term memory
by Maher, Stephen M., M.S.  Tufts University. 2008: 137 pages; 1457459.
4.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
5.
Attributed Object Maps: Descriptive Object Models as High-level Semantic Features for Mobile Robotics
by Delmerico, Jeffrey A., Ph.D.  State University of New York at Buffalo. 2013: 147 pages; 3598629.
7.
Object categories provide semantic representation for 3-year-olds' word learning
by Rost, Gwyneth Campbell, Ph.D.  The University of Iowa. 2011: 167 pages; 3494099.
9.
Exemplar-based Representations for Object Detection, Association and Beyond
by Malisiewicz, Tomasz, Ph.D.  Carnegie Mellon University. 2011: 130 pages; 3515782.
10.
Learning which verbs allow object omission: Verb semantic selectivity and the implicit object construction
by Medina, Tamara Nicol, Ph.D.  The Johns Hopkins University. 2007: 313 pages; 3262361.
11.
Object priming: A test of the object substitution theory of common onset masking
by Graves, Donald Francis, Ph.D.  State University of New York at Albany. 2007: 87 pages; 3300092.
12.
Between-object Superiority and the Effects of Preview on Object-based Attention in Occluded Objects
by Li, Yongna, Ph.D.  State University of New York at Albany. 2010: 93 pages; 3432536.
13.
The Role of Contextual Associations in the Selection of Objects
by Sulman, Noah, Ph.D.  University of South Florida. 2011: 190 pages; 3450431.
14.
Leveraging Deep Neural Networks to Study Human Cognition
by Peterson, Joshua C., Ph.D.  University of California, Berkeley. 2018: 129 pages; 10930700.
15.
Politics of Affect, Object-Oriented-Ontology, and Multitudes in "The Monk" and "Obi"
by Scheufler, Caitlin E., M.A.  State University of New York at Albany. 2016: 59 pages; 10110397.
17.
Color Categorization: Quantitative Methods and Applications
by Fider, Nicole Alexis Abello, Ph.D.  University of California, Irvine. 2018: 247 pages; 10827319.
18.
Image classification using invariant local features and contextual information
by Bharath, Ramesh, Ph.D.  National University of Singapore (Singapore). 2015: 178 pages; 10006074.
19.
Facial Information as a Minimal Cue of Animacy
by Horowitz, Erin J., Ph.D.  University of California, Santa Barbara. 2018: 170 pages; 10784374.
20.
What & When: How Objects and Uncertainty Constrain Visual Attention
by Collegio, Andrew, Ph.D.  The George Washington University. 2018: 140 pages; 10784937.
21.
Aligning Financial Strategy with Customer Categorization based on Environmental Scanning
by Anyiwe, Timothy Osita, D.B.A.  Walden University. 2012: 310 pages; 3525694.
26.
Document and natural image applications of deep learning
by Kang, Le, Ph.D.  University of Maryland, College Park. 2015: 145 pages; 3726222.
27.
A thing is what we say it is: Referential communication and indirect category learning
by Voiklis, John Konstantinos, Ph.D.  Columbia University. 2008: 93 pages; 3333489.
28.
Thinking-for-Speaking and the EFL Mind: Face-to-Face Dialogue to Talk about Vertical Space
by Kunisawa, Tae, Ph.D.  The University of New Mexico. 2017: 307 pages; 10642449.
29.
Change Your Category, Change Your Mind: The Mutability of Folk Models of Mental Health Disorders
by Yaudes, Kevin L., Ph.D.  University of Louisiana at Lafayette. 2017: 234 pages; 10289137.
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