Abstract-- Classification hierarchies are trees where links codify the fact that a node lower in the hierarchy contains documents whose contents are more specific than those one le...
We look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3...
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
Hypothesis generation is a crucial initial step for making scientific discoveries. This paper addresses the problem of automatically discovering interesting hypotheses from the we...