—This paper presents an ad-hoc vehicular protocol to support the logistics of first responders. First responders often travel several kilometers to reach an area impacted by an ...
Jonathan Woodbridge, Mars Lan, Giovanni Pau, Mario...
This work reports on the advances and on the current status of a terrestrial city modeling approach, which uses images contributed by end-users as input. Hence, the Wiki principle...
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Surface registration is widely used in machine vision and medical imaging, where 1-1 correspondences between surfaces are computed to study their variations. Surface maps are usua...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...