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1.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
2.
Object Recognition Based on Multi-Agent Spatial Reasoning
by Yoon, Taehun, Ph.D.  The Ohio State University. 2008: 115 pages; 10631403.
3.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
4.
Extracting Key Features for Analysis and Recognition in Computer Vision
by Gao, Hui, Ph.D.  The Ohio State University. 2006: 164 pages; 10835745.
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Identifying structural damage from images
by Chen, ZhiQiang, Ph.D.  University of California, San Diego. 2009: 282 pages; 3337297.
7.
Integrating Multiple Modalities into Deep Learning Networks
by McNeil, Patrick N., Ph.D.  Nova Southeastern University. 2017: 296 pages; 10283417.
8.
Detection of malware via side channel information
by Quinn, Rian, Ph.D.  State University of New York at Binghamton. 2012: 169 pages; 3522519.
9.
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.
11.
Robust Classification of Emotion in Human Speech Using Spectrogram Features
by Guven, Erhan, Ph.D.  The George Washington University. 2012: 133 pages; 3502353.
12.
A framework for computer aided diagnosis and analysis of the neuro-vasculature
by Chowriappa, Ashirwad, Ph.D.  State University of New York at Buffalo. 2014: 203 pages; 3612958.
13.
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.
14.
Nonlinear discriminant analysis based feature dimensionality reduction for automatic speech recognition
by Hu, Hongbing, Ph.D.  State University of New York at Binghamton. 2010: 145 pages; 3423029.
15.
Advanced feature learning and representation in image processing for anomaly detection
by Price, Stanton Robert, M.S.  Mississippi State University. 2015: 110 pages; 1586997.
16.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
17.
Texture Representations for Image Retrieval
by Shafer, Scott A., M.S.  The George Washington University. 2012: 65 pages; 1510228.
18.
Intelligent spot welding quality monitoring using advanced signal processing techniques
by Xingjue, Wang, M.S.  National University of Singapore (Singapore). 2015: 142 pages; 10006100.
19.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
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Real-Time Road Traffic Events Detection and Geo-Parsing
by Kumar, Saurabh, M.S.E.C.E.  Purdue University. 2018: 70 pages; 10842958.
22.
Unbiased Phishing Detection Using Domain Name Based Features
by Shirazi, Hossein, M.S.  Colorado State University. 2018: 72 pages; 10826588.
23.
Computer Aided System for Detecting Masses in Mammograms
by Jirari, Mohammed, Ph.D.  Kent State University. 2008: 138 pages; 10631022.
24.
Looking at people using partial least squares
by Schwartz, William Robson, Ph.D.  University of Maryland, College Park. 2010: 123 pages; 3426408.
26.
Wavelet transform and neural network
by Ghafoori, Elyar, M.S.  California State University, Long Beach. 2014: 60 pages; 1527935.
28.
Implementing Machine Learning Algorithms for Identifying Microstructure of Materials
by Shah, Niyati S., M.S.  California State University, Long Beach. 2018: 41 pages; 10837912.
29.
Efficient Public-Key Watermark Techniques for Authentication
by Jiang, Feng, Ph.D.  Purdue University. 2017: 124 pages; 10618833.
30.
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.
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