Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
We introduce a new framework for the automatic selection of the best views of 3D models. The approach is based on the assumption that models belonging to the same class of shapes ...
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...