Dec 03 Sparsity in Imaging Seminar 5 p.m., Dec. 3, 2019 <p><strong>WassMap: A Wasserstein Distance-Based Dimensionality Reduction Technique for Image Data</strong><br /> <span>Nick Henscheid, Medical Imaging, University of Arizona</span></p>
Nov 05 Sparsity in Imaging Seminar 5 p.m., Nov. 5, 2019 <p><span><strong>Graphical Models for Optimization, Inference and Learning </strong></span><br /> <span>Misha Chertkov, Program in Applied Mathematics, University of Arizona</span></p>
Oct 22 Sparsity in Imaging Seminar 5 p.m., Oct. 22, 2019 <p><strong><span><strong>X-ray</strong> measurement model and information-theoretic metric incorporating material variations with energy and spatial correlations</span></strong><br /> <span>Yijun Ding, College of Optical Sciences, University of Arizona</span></p>
Oct 15 Sparsity in Imaging Seminar 5 p.m., Oct. 15, 2019 <p><strong><span>Plug-and-Play ADMM for Quantitative Parameter Mapping: A Comparison of Compressive Sensing Algorithms</span></strong><br /> <span>Zhiyang Fu, Electrical and Computer Engineering, University of Arizona</span></p>