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91.
Applying Visual Routines in a Cognitive Model of Visual Analysis
by Anderson, Blake, M.S.  University of Missouri - Columbia. 2010: 81 pages; 13849371.
94.
Automated Quantification of Biological Microstructures Using Unbiased Stereology
by Bonam, Om Pavithra, M.S.C.S.  University of South Florida. 2011: 68 pages; 1496759.
95.
R-Eye: An image processing-based embedded system for face detection and tracking
by Patel, Brindal A., M.S.  California State University, Long Beach. 2016: 41 pages; 10141532.
96.
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.
97.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
98.
New Deep Learning Based Approaches for Biomedical Image Segmentation and Related Problems
by Yang, Lin, Ph.D.  University of Notre Dame. 2018: 129 pages; 13836469.
99.
Image segmentation and paired shapes asymmetry quantification: An application in a Drosophila wing image set
by Young, Gregory D., M.S.  California State University, Long Beach. 2015: 81 pages; 1589666.
100.
Process development for high powered amplifier Au/Sn eutectic die attach via vacuum furnace
by Blanden, Zachary F., M.S.  State University of New York at Binghamton. 2016: 136 pages; 10250174.
101.
Efficient Data Processing from Network Camera and its Application
by Koh, Youngsol, M.S.E.C.E.  Purdue University. 2017: 38 pages; 10255592.
102.
A mobile and cloud-based framework for plant stress detection from crowdsourced visual and infrared imagery
by Zukowski, Daniel, M.S.  University of Colorado at Boulder. 2016: 65 pages; 10124049.
103.
Structured illumination imaging
by Shroff, Sapna A., Ph.D.  University of Rochester. 2010: 204 pages; 3410618.
104.
The Hybrid Task Graph Scheduler
by Blattner, Timothy, Ph.D.  University of Maryland, Baltimore County. 2016: 152 pages; 10245475.
105.
106.
Computational modeling and utilization of attention, surprise and attention gating
by Mundhenk, Terrell Nathan, Ph.D.  University of Southern California. 2009: 312 pages; 3368710.
107.
Model-Based Information Extraction From Synthetic Aperture Radar Signals
by Matzner, Shari A., Ph.D.  Portland State University. 2011: 133 pages; 3489436.
109.
A cooperative approach to continuous calibration in multi-projector displays
by Johnson, Tyler M., Ph.D.  The University of North Carolina at Chapel Hill. 2009: 126 pages; 3387973.
110.
Robust Image-Based Modeling and Simulation in Biomechanics
by Hafez, Omar Mohamed, Ph.D.  University of California, Davis. 2018: 151 pages; 10746888.
111.
Analysis of facial marks as biometric signatures for forensic facial identification
by Srinivas, Nisha, Ph.D.  University of Notre Dame. 2015: 183 pages; 3731722.
112.
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.
113.
The effectiveness of password restrictions and mnemonics on memory of older adults
by Hills, Martina Marie, M.S.  California State University, Long Beach. 2012: 99 pages; 1522230.
114.
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.
115.
Probabilistic models of phase variables for visual representation and neural dynamics
by Cadieu, Charles, Ph.D.  University of California, Berkeley. 2009: 120 pages; 3402686.
117.
Advanced Wavelet Application for Video Compression and Video Object Tracking
by He, Chao, Ph.D.  The Ohio State University. 2005: 176 pages; 10834902.
118.
Longitudinal Tissue Segmentation Methods for the Aging Brain
by Schwarz, Christopher George, Ph.D.  University of California, Davis. 2012: 148 pages; 3540732.
119.
Interactive visual prototyping of computer vision applications
by Maynes-Aminzade, Daniel, Ph.D.  Stanford University. 2008: 105 pages; 3332995.
120.
The ALISA Component Module: General shape classification for digital radiographic images
by Oertel, Carsten K., Ph.D.  The George Washington University. 2009: 276 pages; 3338836.
91 - 120 of 32209 displayed.
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