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Model-based Image Reconstruction Using Optimization Methods

Jeff FesslerProfessorUniversity of Michigan, Department of EECS
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his seminar will begin with an overview of how image reconstruction problems are formulated as optimization problems. Then I will summarize a recent optimization method developed in our group that is useful for such problems and that converges faster than Nesterov's famous fast gradient method. The method is useful for a variety of applications in signal processing and machine learning.

Sponsored by

ECE

Faculty Host

Raj Nadakuditi