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Course information on this site is not reflective of offerings for the 2025鈥�2026 academic year. Some irregularities may occur as we move operations to the incoming Course Catalogue.
Electrical Engineering : An overview of statistical and machine learning techniques as applied to computer vision problems, including: stereo vision, motion estimation, object and face recognition, image registration and segmentation. Topics include regularization, probabilistic inference, information theory, Gaussian Mixture Models, Markov-Chain Monte Carlo methods, importance sampling, Markov random fields, principal and independent components analysis, probabilistic deep learning methods including variational models, Bayesian deep learning.
Terms: Fall 2024
Instructors: Arbel, Tal (Fall)
