We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
Simply choosing one model out of a large set of possibilities for a given vision task is a surprisingly difficult problem, especially if there is limited evaluation data with whi...
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
—Field design has wide applications in graphics and visualization. One of the main challenges in field design has been how to provide users with both intuitive control over the d...
— Euler diagrams are often used to visualize intersecting data sets in applications such as criminology; genetics, medicine and computer file systems. One interesting aspect of t...