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1.
Scalable Unsupervised Dense Objects Discovery, Detection, Tracking and Reconstruction
by Ma, Lu, Ph.D.  University of Colorado at Boulder. 2016: 160 pages; 10151087.
2.
An Approach to the Solution of Inverse Problem Using Unsupervised Machine Learning
by Dixit, Surabhi, M.S.  California State University, Long Beach. 2018: 64 pages; 10752219.
3.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
4.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
6.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
7.
Speech Synthesis Using Unsupervised Learning
by Datta, Aditi, M.S.  California State University, Long Beach. 2017: 215 pages; 10639160.
8.
Cross-Lingual Alignment of Word & Sentence Embeddings
by Aldarmaki, Hanan, Ph.D.  The George Washington University. 2019: 113 pages; 13812118.
11.
Unsupervised Learning of Derivational Morphological Constraints
by Sulaiman, Suriani, Ph.D.  Indiana University. 2017: 203 pages; 10687281.
12.
Learning from time series in the presence of noise: Unsupervised and semi-supervised approaches
by Yankov, Dragomir Dimitrov, Ph.D.  University of California, Riverside. 2008: 165 pages; 3305676.
13.
Unsupervised building detection from irregularly spaced LiDAR and aerial imagery
by Shorter, Nicholas Sven, Ph.D.  University of Central Florida. 2009: 168 pages; 3383696.
15.
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.
17.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
19.
20.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
22.
Investigation of spatio-temporal effects of fMRI visual field mapping techniques on V1
by Janik, John J., III, Ph.D.  Marquette University. 2011: 125 pages; 3482153.
23.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
25.
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.
26.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
27.
Scaling activity discovery and recognition to large, complex datasets
by Rashidi, Parisa, Ph.D.  Washington State University. 2011: 275 pages; 3460419.
28.
Machine Vision Techniques for Crane Workspace Mapping
by Rahman, Mohammad Sazzad, M.S.  University of Louisiana at Lafayette. 2015: 97 pages; 1596637.
29.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
30.
Development of Geodetic Imaging Techniques and Machine Learning for Marsh Observation
by Nguyen, Chuyen, Ph.D.  Texas A&M University - Corpus Christi. 2019: 205 pages; 13859552.
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