|Topic:||Fast Estimation of Rotation-Invariant Covariance of Cryo-EM Images|
|Time:||2:30 pm - 3:30 pm|
|Venue:||Lady Shaw Building LT2|
|Speaker:||Dr. Yunpeng Shi|
Covariance estimation of images plays a crucial role in numerous tasks, including image compression, classification, and denoising. However, due to the often exceedingly high dimensions of image covariance, we face significant statistical and computational challenges. One noteworthy observation is that if the image manifold remains invariant under global in-plane rotations, this symmetry can be leveraged to substantially accelerate computation and reduce dimensionality.