Lectures related to Image Processing I

Related lectures (32)

Explores the Kalman filter for state estimation and prediction in a linear Gaussian setting, emphasizing the optimality of the predictor and filter.

Explores statistical models, families of distributions, transformations, and their applications in probability theory.