Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
In this paper we consider the problem of multi-object categorization. We present an algorithm that combines support vector machines with local features via a new class of Mercer k...
Barbara Caputo, Christian Wallraven, Maria-Elena N...
In this paper we develop a novel contrast-invariant appearance detection model. The goal is to classify object-specific images (e.g. face images) from generic background patches. ...
In this paper we present an image segmentation technique that fuses contributions from multiple feature subspaces using an energy minimization approach. For each subspace, we comp...
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...