Inverse problems are essential in applications like medical imaging, geophysics, and radar, where we aim to reconstruct original signals or images from incomplete or noisy data. We will discuss how adaptive models can enhance the accuracy and reliability of reconstruction. We will present a method for tailoring models to address model mismatch and noise. Inverse problems are essential in applications like medical imaging, geophysics, and radar, where we aim to reconstruct original signals or images from incomplete or noisy data. We will discuss how adaptive models can enhance the accuracy and reliability of reconstruction. We will present a method for tailoring models to address model mismatch and noise.
Building 59-2018
29 Oct, 2024
01:00 PM - 01:50 PM