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1.
Security system with motion detection and face recognition
by Patel, Ravi L., M.S.  California State University, Long Beach. 2017: 40 pages; 10251645.
3.
Image classification using invariant local features and contextual information
by Bharath, Ramesh, Ph.D.  National University of Singapore (Singapore). 2015: 178 pages; 10006074.
4.
Advanced Wavelet Application for Video Compression and Video Object Tracking
by He, Chao, Ph.D.  The Ohio State University. 2005: 176 pages; 10834902.
5.
Invariant Recognition of Vocal Features
by Moore, Richard Channing, III, Ph.D.  University of California, Berkeley. 2011: 70 pages; 3616333.
6.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
7.
A face recognition-based attendance system
by Vuyyuru, Samrat Ashok Reddy, M.S.  California State University, Long Beach. 2016: 46 pages; 10142977.
8.
Advanced feature learning and representation in image processing for anomaly detection
by Price, Stanton Robert, M.S.  Mississippi State University. 2015: 110 pages; 1586997.
9.
Efficient Public-Key Watermark Techniques for Authentication
by Jiang, Feng, Ph.D.  Purdue University. 2017: 124 pages; 10618833.
10.
A Novel Global Pattern Recognition Algorithm
by Stoffa, Joseph M., Ph.D.  West Virginia University. 2010: 185 pages; 3448238.
11.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
12.
Graphical User Interface for the CVIP MATLAB Toolbox with Application to Syrinx Detection in Veterinary Thermographic Images
by Cuellar Buritica, Julian Rene, M.S.  Southern Illinois University at Edwardsville. 2019: 132 pages; 13900325.
13.
Analysis of facial marks as biometric signatures for forensic facial identification
by Srinivas, Nisha, Ph.D.  University of Notre Dame. 2015: 183 pages; 3731722.
14.
A computer vision approach to classification of circulating tumor cells
by Hopkins, David, M.S.  Colorado State University. 2013: 93 pages; 1539638.
15.
Wavelet Transform and Ensemble Logistic Regression for Driver Drowsiness Detection
by Kannanthanathu, Amal Francis, M.S.  California State University, Long Beach. 2017: 44 pages; 10639615.
16.
Advanced techniques for semantic concept detection in general videos
by Jiang, Wei, Ph.D.  Columbia University. 2010: 179 pages; 3420869.
17.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
18.
Vibration analysis for ocean turbine reliability models
by Wald, Randall David, Ph.D.  Florida Atlantic University. 2012: 156 pages; 3536593.
19.
Motion segmentation for feature association
by Pace, Weston, M.S.  Colorado State University. 2010: 59 pages; 1483943.
20.
Probabilistic models of phase variables for visual representation and neural dynamics
by Cadieu, Charles, Ph.D.  University of California, Berkeley. 2009: 120 pages; 3402686.
22.
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.
23.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
24.
Computer Aided Analysis of Prostate Histopathology Images
by Ren, Jian, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 142 pages; 22623293.
25.
Efficient image restoration algorithms for near-circulant systems
by Pan, Ruimin, Ph.D.  Auburn University. 2007: 130 pages; 3265586.
26.
Permian Basin Reservoir Quantitative Interpretation Applying the Multi-Scale Boxcar Transform Spectral Decomposition
by Locci-Lopez, Daniel Eduardo, M.S.  University of Louisiana at Lafayette. 2018: 74 pages; 10816133.
27.
Compensation for Nonlinear Distortion in Noise for Robust Speech Recognition
by Harvilla, Mark J., Ph.D.  Carnegie Mellon University. 2014: 150 pages; 3692092.
28.
Methods for coherent lensless imaging and X-ray wavefront measurements
by Guizar Sicairos, Manuel, Ph.D.  University of Rochester. 2010: 282 pages; 3430795.
29.
Local and Deep Texture Features for Classification of Natural and Biomedical Images
by Oraibi, Zakariya Ahmed, Ph.D.  University of Missouri - Columbia. 2019: 135 pages; 22583771.
30.
Discovering structure in music: Automatic approaches and perceptual evaluations
by Nieto, Oriol, Ph.D.  New York University. 2015: 266 pages; 3705329.
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