The factorized model somewhat works with unknown ellipse precisions (uses point mass approximation of the posterior).
Ignores.
* Sampling labels from shape model while learning
* Learning object location
* A structure for shape model beliefs
Traits, mask completion
Tons of changes (I haven't been checking in stuff for quite some time).