October 12, 2003
Learning and Vision: Generative Methods
Below are the topics covered, linked to the Powerpoint slides. See also the detailed course outline.
- Maximum Likelihood Estimation (MLE) and Expectation Maximization (EM) (slides)
- Principal Components Analysis (PCA), Factor Analysis (FA), and Transformed Components Analysis (TCA). (slides)
- Markov Chains and Hidden Markov Models (HMM's) (slides)
- Auto-Regressive (AR) dynamical models (slides)
- Markov Random Fields (MRF's) (slides)