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3.
Optimized Veterinary Thermographic Image Classification using Support Vector Machines and Noise Mitigation
by Lama, Norsang, M.S.  Southern Illinois University at Edwardsville. 2017: 56 pages; 10616467.
4.
Thermographic Image Analysis as a Pre-Screening Tool for the Detection of Canine Bone Cancer
by Subedi, Samrat, M.S.  Southern Illinois University at Edwardsville. 2014: 131 pages; 1583211.
5.
Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S.  California State University, Long Beach. 2015: 37 pages; 1603749.
6.
Inferring Individual to Group Associations for Endogamous Populations using Dermatoglyphic Characteristics
by Herdegen, Dale W., Ph.D.  The George Washington University. 2012: 143 pages; 3490557.
7.
Comparison of Features and Mask Size in Thermographic Images of Chiari (CLMS/COMS) Dogs for Syrinx Identification
by Pant, Gita, M.S.  Southern Illinois University at Edwardsville. 2018: 67 pages; 13420135.
9.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
10.
Levee slide detection using synthetic aperture radar magnitude and phase
by Marapareddy, Ramakalavathi, Ph.D.  Mississippi State University. 2015: 196 pages; 3737165.
11.
Comparison of cognitively diagnostic adaptive testing algorithms
by Yamada, Tomoko, Ph.D.  Columbia University. 2008: 98 pages; 3299364.
12.
High-performance knowledge-based entity extraction
by Middleton, Anthony M., Ph.D.  Nova Southeastern University. 2009: 317 pages; 3352341.
15.
Time-frequency classification of gamma oscillatory activity in the frontoparietal system during working memory
by Romano, Tracy A., Ph.D.  Florida Atlantic University. 2014: 233 pages; 3584898.
16.
Using Thermographic Image Analysis in Detection of Canine Anterior Cruciate Ligament Rupture Disease
by Fu, Jiyuan, M.S.  Southern Illinois University at Edwardsville. 2014: 88 pages; 1582920.
17.
A comparison of unsupervised learning techniques for detection of medical abuse in automobile claims
by Yang, Li, M.S.  California State University, Long Beach. 2012: 35 pages; 1521650.
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Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
20.
Automatic Age Estimation from Real-World and Wild Face Images by Using Deep Neural Networks
by Qawaqneh, Zakariya, Ph.D.  University of Bridgeport. 2017: 99 pages; 10689195.
21.
Image classification using invariant local features and contextual information
by Bharath, Ramesh, Ph.D.  National University of Singapore (Singapore). 2015: 178 pages; 10006074.
22.
Data Synthesis for Object Recognition
by Zhang, Xi, Ph.D.  Illinois Institute of Technology. 2017: 140 pages; 10642437.
23.
Clinical Application for Prescreening of Diseases in Canines and Felines using Thermographic Imaging
by Poudel, Kumari Heema, M.S.  Southern Illinois University at Edwardsville. 2015: 70 pages; 1597576.
24.
Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
25.
A Software Framework for the Detection and Classification of Biological Targets in Bio-Nano Sensing
by Hafeez, Abdul, Ph.D.  Virginia Polytechnic Institute and State University. 2014: 112 pages; 10595350.
26.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
28.
Stability analysis of feature selection approaches with low quality data
by Altidor, Wilker, Ph.D.  Florida Atlantic University. 2011: 256 pages; 3480605.
29.
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.
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