ICCV Course on Learning and Vision

Morning class Learning and Vision: Generative Methods

Instructors:

Andrew Blake, Microsoft Research Bill Freeman, MIT

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)
• references.

Afternoon class Learning and Vision: Discriminative Methods

Instructors:

Chris Bishop, Microsoft Research Paul Viola, Microsoft Research

• Chris Bishop's slides
• Paul Viola's slides