Learning Riemannian metrics for motion classification Fabio Cuzzolin INRIA Rhone-Alpes Computational Imaging Group, Pompeu Fabra University, Barcellona.
Machine learning and imprecise probabilities for computer vision Fabio Cuzzolin IDIAP, Martigny, 19/4/2006.
Department of Engineering Math, University of Bristol A geometric approach to uncertainty Oxford Brookes Vision Group Oxford Brookes University 12/03/2009.
Lectureship A proposal for advancing computer graphics, imaging and multimedia design at RGU Robert Gordon University Aberdeen, 20/6/2008 Fabio Cuzzolin.
Bilinear models and Riemannian metrics for motion classification Fabio Cuzzolin Microsoft Research, Cambridge, UK 11/7/2006.
TRACEBACK TRACEBACK: A NEW TOOL TO THE FOOD CHAIN TRACEABILITY FEDERICA SCOTTO di TELLA TECHNO SCIENTIFIC MEDIATOR FEDERALIMENTARE 28th Sept. 2010.
v u Virtual placements: improving the international work experience of students Mariet Vriens, AVNet K.U.Leuven (Belgium) EDULEARN10, 5&6 July 2010 Virtual.
Multistep Virtual Metrology Approaches for Semiconductor Manufacturing Processes Presenter: Simone Pampuri (University of Pavia, Italy) Authors: Simone.
Howie Choset, Carnegie Mellon ( motionplanning )
University of Padova and the Faculty of Agriculture Galileo Galilei 1592-1610 Davide Pettenella Univ. Botanical Garden Agripolis campus.
X-ray spectra from magnetar candidates – Monte Carlo simulations Nicola Parkins, Silvia Zane, Roberto Turolla and Daniele Viganò University of Liverpool,
Extragalactic Confusion Limits in Herschel Key Programs Mattia Vaccari & Alberto Franceschini & Giulia Rodighiero & Stefano Berta Department of Astronomy.