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ECSE 626 Statistical Computer Vision (4 credits)

Offered by: Electrical & Computer Engr (Faculty of Engineering)

Administered by: Graduate Studies


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)

  • (3-0-9)
  • Prerequisites: ECSE 529 or equivalent, ECSE 305 or equivalent.