Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
We present a computationally efficient, on-line graph structure estimation method for model-based scene interpretation. Different scenes have different hierarchical graphical mode...
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
An online feature evaluation method for visual
object tracking is put forward in this paper. Firstly, a
combined feature set is built using color histogram (HC)
bins and gradien...
We present a method for the recognition of on-line handwritten commutative diagrams. Diagrams are formed with arrows that join relatively simple mathematical expressions. Diagram ...