We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Many natural objects vary the shapes as linear combinations of certain bases. The measurement of such deformable shapes is coupling of rigid similarity transformations between the...
Object detection and segmentation can be facilitated by the availability of a reference object. However, accounting for possible transformations between the different object views...
This year at TREC 2003 we participated in the robust track and investigated the use of very simple retrieval rules based on convex combinations of similarity measures based on fi...
In this paper, we present a novel feature extraction approach based on Curvature Scale Space (CSS) for translation, scale, and rotation invariant recognition of hand poses. First,...