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1.
A Novel Global Pattern Recognition Algorithm
by Stoffa, Joseph M., Ph.D.  West Virginia University. 2010: 185 pages; 3448238.
2.
Physical activity assessment under free-living conditions using pattern recognition monitors
by Calabro, Miguel Andres, Ph.D.  Iowa State University. 2011: 172 pages; 3458250.
4.
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.
7.
Data Synthesis for Object Recognition
by Zhang, Xi, Ph.D.  Illinois Institute of Technology. 2017: 140 pages; 10642437.
8.
Speech Emotion Recognition With Gender Recognition Subsystem
by Modi, Deep B., M.S.  California State University, Long Beach. 2017: 43 pages; 10263113.
9.
Smoothing class transitions with hard labels
by Malkin, Jonathan, Ph.D.  University of Washington. 2010: 193 pages; 3406833.
10.
Rethinking Patterns: Associative Formal Analysis and Luciano Berio's Sequenzas
by Schullman, Matthew David Monfredo, Ph.D.  Yale University. 2016: 366 pages; 10160876.
11.
Visual Speech Perception of Arabic Emphatics and Gutturals
by Foster, Maha Saliba, Ph.D.  University of Colorado at Boulder. 2016: 170 pages; 10151052.
12.
Information extraction in an optical character recognition context
by Pereda, Ramon, Ph.D.  University of Nevada, Las Vegas. 2011: 81 pages; 3464808.
13.
Scaling activity discovery and recognition to large, complex datasets
by Rashidi, Parisa, Ph.D.  Washington State University. 2011: 275 pages; 3460419.
14.
L1 Biases in Learning Root-and-Pattern Morphology
by Drake, Shiloh Nicole, Ph.D.  The University of Arizona. 2018: 126 pages; 10932694.
15.
Exploring the Effects of Frontalization and Data Synthesis on Face Recognition
by Banerjee, Sandipan, Ph.D.  University of Notre Dame. 2019: 189 pages; 27750532.
16.
The effect of timbre and pitch-pattern difficulty on the pitch perceptions of elementary-aged users of cochlear implants
by Soja, Morgan C., Ph.D.  The University of North Carolina at Greensboro. 2015: 149 pages; 3708183.
17.
Cortical dynamics of object categorization and recognition with category exemplars
by Maher, Stephen M., Ph.D.  Tufts University. 2011: 134 pages; 3460831.
19.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
21.
Face Recognition Technique for Blurred/Unclear Images
by Visweswaran, Krishnan, M.S.  California State University, Long Beach. 2017: 33 pages; 10263528.
22.
Evaluating the performance of iPhoto facial recognition at the biometric verification task
by Patmore, Keegan P., M.S.  Colorado State University. 2012: 28 pages; 1511042.
23.
24.
An N-gram enhanced learning classifier for Chinese character recognition
by Ayer, Eliot William, M.S.  California State University, Long Beach. 2013: 53 pages; 1524176.
25.
Development of a speech recognition system using the Mel Frequency Cepstrum Coefficient method
by Mahajan, Mayur, M.S.  California State University, Long Beach. 2016: 50 pages; 10141515.
26.
The role of human recognition in economic development: Theory, measurement, and evidence
by Castleman, Joshua (Tony), Ph.D.  The George Washington University. 2009: 334 pages; 3344750.
27.
Object Recognition Based on Multi-Agent Spatial Reasoning
by Yoon, Taehun, Ph.D.  The Ohio State University. 2008: 115 pages; 10631403.
28.
Whole-book recognition
by Xiu, Pingping, Ph.D.  Lehigh University. 2011: 172 pages; 3439862.
29.
Automated Color and Location Comparison as a Timestamp Recognition Method in Images
by Wegrzyn, Jeremy, M.S.  University of Colorado at Denver. 2017: 25 pages; 10275625.
30.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
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