Fall 2013 – Summer 2014
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: Winter 2014
Instructors: Tal Arbel (Winter)