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Model-based Image Reconstruction Using Optimization Methods

Jeff FesslerProfessorUniversity of Michigan, Department of EECS

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


Faculty Host

Raj Nadakuditi