Optimal estimation is a method of solving matrix inverse problems based on Bayes' theorem, which is commonly used in the geosciences for atmospheric sounding. It involves transforming matrices and variables into probability distributions by assuming Gaussian statistics and using empirically-determined covariance matrices.

Stanford University

Winter 2023

This course introduces concepts and applications in computer vision, focusing on geometry and 3D understanding. It covers topics like filtering, edge detection, segmentation, clustering, shape reconstruction from stereo, and high-level visual topics. Knowledge of linear algebra, basic probability, and statistics is required.

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