Explores Probabilistic Linear Regression and Gaussian Process Regression, emphasizing kernel selection and hyperparameter tuning for accurate predictions.
Explores motion estimation methods in video processing, covering displacement, motion field, optical flow, and various techniques like gradient methods and block matching.