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1.
Computational pain quantification and the effects of age, gender, culture and cause
by Ostberg, Colin R., M.S.  Marquette University. 2014: 62 pages; 1554606.
2.
Sparse dictionary learning and domain adaptation for face and action recognition
by Qiu, Qiang, Ph.D.  University of Maryland, College Park. 2013: 150 pages; 3587452.
3.
Image Super-Resolution Enhancements for Airborne Sensors
by Woods, Matthew, Ph.D.  Northwestern University. 2016: 222 pages; 10193209.
4.
R-Eye: An image processing-based embedded system for face detection and tracking
by Patel, Brindal A., M.S.  California State University, Long Beach. 2016: 41 pages; 10141532.
5.
A method to assess dynamic responses in a crash simulation
by Hong, Seong Woo, Ph.D.  The George Washington University. 2011: 127 pages; 3453983.
7.
The importance of not being mean: DFM—a norm-referenced data model for face pattern recognition
by Kite, Lawrence Marc, Ph.D.  University of Southern California. 2009: 143 pages; 3355391.
8.
Exploring Spontaneous Emission Phenomena Using Ultracold Atomic Matter Waves
by Krinner, Ludwig, Ph.D.  State University of New York at Stony Brook. 2018: 154 pages; 10929967.
9.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
10.
Evaluations of Facial Attractiveness and Expression
by Peshek, Darren Joel, Ph.D.  University of California, Irvine. 2013: 115 pages; 3548691.
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Improving non-linear approaches to anomaly detection, class separation, and visualization
by Paciencia, Todd J., Ph.D.  Air Force Institute of Technology. 2014: 354 pages; 3667806.
1 - 13 of 13 displayed.
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