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Overview
Electrical Engineering : An overview of statistical techniques as applied to computer vision and image processing. Topics include regularization, Kalman filtering, Markov-Chain Monte Carlo methods, importance sampling and particle filtering, Markov Random fields, parameter estimation, mean-field techniques, stochastic and deterministic annealing, principal and independent components analysis.
Terms: This course is not scheduled for the 2016-2017 academic year.
Instructors: There are no professors associated with this course for the 2016-2017 academic year.