We present a technique to adapt the domain of local features through the matching process to augment their discriminative power. We start with local affine features selected and n...
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
Abstract. Often in content-based image retrieval, a single image attribute may not have enough discriminative information for retrieval. On the other hand, when multiple features a...
Flexible discriminant analysis (FDA) is a general methodology which aims at providing tools for multigroup non linear classification. It consists in a nonparametric version of dis...
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...