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 2009-2010 academic year.
Instructors: There are no professors associated with this course for the 2010-2011 academic year.
- (3-0-9)
- Prerequisites: ECSE 529 or equivalent, ECSE 305 or equivalent.