Image Searching and Modelling

Part IB Paper 8

Information Engineering Elective

Lecture 0: Introduction [3MB file]

Lecture 1: Feature vectors and Models

Lecture 2: Maximum Likelihood, Optimization, and Outlier Removal

Lecture 2 supplement: Mixture of Gaussians example and handout

Lecture 3: Bayesian Learning, Binary Data, Beta Distributions

Lecture 4: Bayesian Content Based Image Retrieval [3.8 MB PowerPoint file]

Example Exam Paper 2007

Last modified: Tue May 25 18:54:00 BST 2010