Lecture 1: Feature vectors and Models
Lecture 2: Maximum Likelihood, Optimization, and Outlier Removal
Lecture 3: Bayesian Learning, Nearest Neighbor and KD-Trees
Lecture 4: Bayesian Content Based Image Retrieval [3.8 MB PowerPoint file]
Example Exam Paper 2007