In this paper, we investigate kernel based methods for multimodal information analysis and
fusion. We introduce a novel approach, kernel cross-modal factor analysis, which identifies …

Multiple kernel learning (MKL), as a principled classification method, selects and combines
base kernels to increase the categorization accuracy of Support Vector Machines (SVMs) …

This paper deals with structural representations of images for machine learning and image
categorization. The representation consists of a graph where vertices represent image …

Nos travaux portent sur l'interprétation d'une scène dont nous possédons un modèle,
représentant l'agencement spatial des objets contenus dans cette scène. Dans le cadre …

Sequential segmentation optimization using a structural model and focus of visual attention.
Application to the recognition of internal brain structures in 3D magnetic resonance images …

A new experimental method has been developed at GSI to study spallation in inverse
kinematics. The use of the in-flight spectrometer FRS, allows the isotopic identification of the …