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Histogram Layers for Texture Analysis
Problem Statement: Shortcomings of Convolutional Neural Networks
Convolutional neural networks (CNNs) have shown tremendous ability for a variety of applications. One reason for the success of CNNs are that they excel at representing and detecting structural textures. However, they are not as effective at statistical textures. To illustrate this point, below is an example of different structural and statistical textures:
We can visually see the distinct differences between the different texture combinations. The structural textures are a checkboard, cross, and stripe. The statistical textures are shown through foreground pixels values sampled from multinomial, binomial, and constant distributions. A CNN could easily distinguish the structural textures, but would struggle with the statistical textures. -
Mentor for UF Summer Student Science Training Program (SSTP)
This Summer, I had the opportunity to mentor a high school student, Tyler Kim. Tyler’s projected focus on running experiments and analyzing the results of a new layer for texture analysis. He was awarded the SSTP best paper award at the closing ceremony! Read more here.
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Presentation at Society of Photographic Instrumentation Engineers (SPIE) Defense + Commercial Sensing 2019
I presented my work, “Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation,” at SPIE DCS in Baltimore, MD. Read more here.
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Awarded Southern Regional Education Board (SREB) Travel Award
I earned a 3-year travel award from UF for the SREB Institute on Teaching and Mentoring. Read more here.
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Awarded National Science Foundation (NSF) Graduate Research Fellowship
I was awarded a NSF Graduate Research Fellowship! Learn more here.
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Presented our work at Unmanned Maritime Systems Technology (UMST)
We presented our work on an environmentally-aware automatic target recoginition system at UMST. Learn more here.
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Awarded McKnight Doctoral Fellowship
I was awarded an McKnight Doctral Fellowship! Learn more about the award and my research interesthere.