Dimensionality Reduction, Visual Modelling, and Tracking |
| Dynamic Bayesian Networks, Particle Filters, and Mapping |
| Variational Methods
|
Variational Learning for Switching State-Space Models by
Beal et al.
|
Beal's PhD Thesis by
Beal (2003)
|
Bayesian Learning in Nonlinear State-Space Models by
Andrews
|
| Statistical Relational Models |
| Gaussian Processes
|
| Introduction to Gaussian processes by MacKay
|
| Conditional random fields, boosting, and belief propogation
|
Discriminative
Fields for Modelling Spatial Dependencies in Natural Images by Kumar et al.
|
Conditional Random Fields for Object Recognition by Quattoni (2004)
|
Intro to CRFs by Wallach
(2004)
|
Sign Detection in Natural Images With CRFs by Weinman et al. (2004)
|
Torralba
and Murphy's papers
|
