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Anderson Acceleration and Descattering
Published:
Descattering with a Gaussian Kernel
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Iterative Methods for Descattering
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Nearest-Neighbor Sampling Densities and Descattering Performance
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Neural Style Transfer and Video Games
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Simulating NFL Coaching Decisions Using Machine Learning
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An Empirical Study of Least Squares Ratings for USA Ultimate Frisbee - Alexander N. Sietsema
Submitted to The American Statistician, 2021
We introduce an unstudied setting for sports rankings with unique properties, and compare a current rating method with the familiar least squares rating method.
View the paper here
Comparing One-step and Two-step Scatter Correction and Density Reconstruction in X-ray CT- Alexander N. Sietsema, Michael T. McCann, Marc L. Klasky, Saiprasad Ravishankar
Submitted to IEEE ICASSP, 2021
We compare one-step and two-step approaches for X-ray computed tomography scatter correction and density reconstruction.
View the paper here
Kaczmarz Methods and Best Linear Unbiased Estimators
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One-Step and Two-Step Descattering
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Alexander Sietsema
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