Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
Francesco Masulli, Matteo Pardo, Giorgio Sbervegli...
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
We describe a novel interface for presenting interactive content on public digital bulletin boards. Inspired by paper fliers on physical bulletin boards, posted content is display...
Laurent Denoue, Les Nelson, Elizabeth F. Churchill
This paper presents a method to capture human motion from silhouettes of a person in multi-view video streams. Applying a hierarchical kinematic body model motion parameters are e...
Christian Theobalt, Joel Carranza, Marcus A. Magno...
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...